Description
will send information.
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Hi, Please check the attached file for details, let me know if you have any questions, thank you. James,
1. Two common approximations for the number pi are π and 3.141593. How would you
determine which of these two approximations is greater? Give reasons.
2. Is ratio always a rate? Explain and give examples.
3. Explain in your own words the difference between a proportion and a ratio. How would you
us...
Completion Status:
100%
Review
Review
Anonymous
Very useful material for studying!
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
CSCC Statistics Test Final
stats test
4
.The National Institute of Health randomly selected 520individuals who gave blood during the month of Ma ...
CSCC Statistics Test Final
stats test
4
.The National Institute of Health randomly selected 520individuals who gave blood during the month of May in order todetermine their blood types. The NIH plotted the percentage of theblood types in the pie chart depicted below.
What
is the number
of individuals from this sample who have blood type B?
16
20
28
36
104
5.
Regarding the pie chart image presented below (as well as in the
question above), what component of a good statistical picture is
missing?
Title
Labeling
The
Source
A
Line graph
6 Which
of the following might you use to best
display categorical
data?
Histogram
Pictogram
Line
graph
Stem
plot
Scatter
plot7.
You
have collected data on nurses’ annual salaries over a ten-year
period (2009 to 2019). Which of the following data organization
schemes would best highlight upward and downward changes over time?
Pictogram
Line
graph
Bar
graph
Pie
chart
Scatterplot
8.
Ohio
University sorted 150 new students into one of the four residence
hall greens as follows: East Green 44, South Green 40, West Green 35,
and North Green 31. In a Chi-Square test, what would EXPECTED
value (i.e., Expected Frequency)
be for the East Green?
37.5
42
44
84
1509.
A
Chi-square goodness-of-fit test was conducted on voter preferences in
a state primary (with candidates A, B, C, and D) that yielded a
calculated/obtained statistic of 7.82. If you used a critical value
of 6.22 to determine if the voters significantly preferred one
candidate over another, what conclusion would you draw?
Voters
showed no significant preference
Voters
showed a significant preference
Voters
showed a significant preference for candidate A over the others
Not
enough information is given to be able to answer this question
Answers
B and C are both correct10.Calculate
the expected value (i.e.,
expected frequency) for each
cell of the table below, for this Chi-Square Test for Independence.
What is the expected
value/frequency for the
Senior/Yes cell?
22.5
27.5
50
67.5
10011.
Ohio
University sorted 150 new students into one of the four residence
hall greens as follows: East Green 44, South Green 40, West Green 35,
and North Green 31. Which is the appropriate test to use to
determine whether there was a preference
regarding the green to which students were assigned?
Goodness
of Fit test
Test
for Independence
Parametric
test of significance
Z-test
T-test
12.
Which
of the following statistical tests would be appropriate to perform on
the data in the table depicted here?
Goodness
of Fit test
Test
for Independence
Parametric
test of significance
Z-test
T-test
13.
A
potential sponsor would like to know whether local viewers prefer
some evening news programs over others. The sponsor conducts a viewer
preference
survey based on a simple random sample of 260 households. The results
are: 54 preferred KTVO, 49 preferred KMDT, 68 preferred KLPF, and 89
preferred KZTV. A goodness-of-fit test performed on these data would
yield a calculated/obtained chi-square value of ______:
44.0
/ 40.0
2.72
7.90
60.0
/ 56.0
14.8014.
You
flip a coin four times. What is the probability of getting the
specific
outcome
of all heads on each of the four times instead of tails on each
of the four times?
0.00
0.50
0.25
1.00
none
of the above
15.
Event A has a probability of 0.25 and Event B has a probability
of 0.00. What is the probability associated with the joint occurrence
of these two independent
events?
0.00
0.50
0.25
1.00
none
of the above
16.
Bob has 15 colors of paints. He mixes 2 colors at a time. How many
different colors does he get when he mixes all possible pairs of
paints? This problem is an example of a _______________:
joint
probability
conditional
probability
combination
permutation
"given
that" probability17.
Let
us assume that all 102 students in this course are in one and only
one of the following programs: the TAS program, the BA program, or
the RN to BSN program. Let us assume further that the number of
students in each of these programs is equivalent (in other
words, there are 34 students in each program). What
is the probability of a student in this course being in either
the TAS program or
the BA program?
0.1111
0.3333
0.6667
0.9999
cannot
be determined
18.
A student who is
graduating from a large college is randomly selected. Which of the
following is the correct wording and interpretation of this
probability statement?
p(J
/ N), where J represents the student getting a job, and N
represents the student networking with local employers
The
probability that a randomly selected student gets a job
The
probability that a randomly selected student gets a job and
networks with local employers
The
probability that a randomly selected student networks with local
employers given that the student gets a job
The
probability that a randomly selected student gets a job given that
the student networks with local employers
The
probability that a randomly selected student gets a job or
networks with local employers
19.
Ten students from
this class are running a race. How many different ways
are there for the 10 students to get first, second, and third
place? This question is an example of a _____________:
joint
probability
conditional
probability
combination
permutation
either/or
probability
20.
Five students from
this class are running a race. How many different ways are
there for the 5 students to get first, second, and third
place? For
this problem, what is N?
3
4
5
6
none
of the above21.
Five
students from this class are running a race. How many different
ways are there for the 5 students to get first, second, and
third place? For
this problem, what is r?
3
4
5
6
none
of the above22.
Five
students from this class are running a race. How many different
ways are there for the 5 students to get first, second, and
third place? What is the calculated value for this problem?
3
10
15
20
60
23.
To
drum up business and to get customers to try different varieties
of cupcakes, a local bakery is offering one free “luck of the draw”
cupcake. That is, a cupcake is randomly selected from what is on hand
and given to the customer to try. Currently, the cupcakes available
are made of chocolate, vanilla, or strawberry and have one of three
toppings: rainbow sprinkles, chocolate chips, or gummy bears. The
different configurations of the 100 cupcakes available for the “luck
of the draw” promotion are depicted in the table below.
What
is the probability of receiving a chocolate cupcake with rainbow
sprinkles?
0.1395
0.3000
0.0600
0.1000
0.0500
24.
To
drum up business and to get customers to try different varieties
of cupcakes, a local bakery is offering one free “luck of
the draw” cupcake. That is, a cupcake is randomly
selected from what is on hand and given to the customer to
try. Currently, the cupcakes available are made of
chocolate, vanilla, or
strawberry and have one of three toppings: rainbow
sprinkles, chocolate chips, or gummy bears. The
different configurations of the 100 cupcakes available for
the “luck of the draw” promotion are depicted in the
table below.What
is the probability that a cupcake is strawberry given
that
it has rainbow sprinkles?
0.3636
0.3429
0.1200
0.3300
none
of the above
25.
To
drum up business and to get customers to try different varieties
of cupcakes, a local bakery is offering one free “luck of
the draw” cupcake. That is, a cupcake is randomly
selected from what is on hand and given to the customer to
try. Currently, the cupcakes available are made of
chocolate, vanilla, or
strawberry and have one of three toppings: rainbow
sprinkles, chocolate chips, or gummy bears. The
different configurations of the 100 cupcakes available for
the “luck of the draw” promotion are depicted in the
table below.
What
is the probability that a cupcake is vanilla with either
rainbow sprinkles or
gummy bears?
0.1395
0.2666
0.0880
0.1444
0.130026.
(9!)
/ (5!) =
3,024
5040
43,545,600
604800
In
statistics, we cannot divide or multiply factorials27. During
which decade
was inflation the highest, as measured by the percentage change in
the CPI?
1940s
1950s
1960s
1970s
1980s28.
What
was the rate of inflation during the decade
of the 1950s, as measured by percentage change in CPI?
22.82%
31.08%
58.62%
72.14%
112.37%
29.
The average price of a new house was $3,395 in 1915, when the
CPI was 10.1. How much would the average new house cost in 1995 when
adjusted for inflation? (The CPI in 1995 was 152.4.)
$34,289.50
$43,580.20
$51,227.52
$73,892.54
$87,652.8930.
What
was the rate of inflation during the decade
of the 1980s, as measured by percentage change in CPI?
22.82%
31.08%
58.62%
72.14%
112.37%31.
Using
1989 as a base, the price index for computers is now 185. What does
this index number mean?
The
price of computers has decreased 85% since 1989
The
price of computers has increased 85% since 1989
The
price of computers has increased 185% since 1989
The
price of computers has increased 100% since 1989
The
price of computers is now $185 more than in 198932.
An economic
indicator that is _____________ is one in which the highs, lows, and
changes tend to come after or following changes in the economy.
leading
receding
preceding
sluggish
lagging33. Which
one of the following is NOT
one of the major uses of the CPI?
The
CPI is used to evaluate and determine economic policy.
The
CPI is used to determine economic trends in the rural United
States.
The
CPI is used to compare prices in different years.
The
CPI is used to determine salary and price adjustments.
All
of the above answers are major uses of the CPI.34.
Much
of the rest of the exam is based on the following problem:In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation
of 1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference
in duration of hospital stay because of the new medication?
The
appropriate statistical procedure for this problem would be a
___________?
t-test
z-test
Chi-square
Goodness of Fit
Chi-square
Test for Independence
Pearson
r correlation35.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference in
duration of hospital stay because of the new medication?
What
type of test is this?
One-tailed
Two-tailed
Three-tailed
Four-tailed
Joint
conditional probability36.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? The
most appropriate alternative hypothesis (in symbols) would be:
newmed =
4.75
newmed =
2.60
newmed
≠
4.75
newmed <
4.75
newmed >
2.60
37.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication?
The
most appropriate null hypothesis (in symbols) would be:
newmed =
2.60
newmed
= 4.75
newmed >
2.60
newmed > 4.75
newmed <
2.6038.
n
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication?For
this problem, the correct sign for the critical value should be:
+
-
<
>
+/-39.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? Which
of the following is the critical value associated with an alpha
level of .05 that you should use to evaluate the null hypothesis?
(Use your tables.)
1.65
1.70
1.96
2.58
2.6040.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? The
most appropriate null hypothesis (in words) should be:
There
is a significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
There
is no significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
Duration
of hospital stay is not significantly increased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
Duration
of hospital stay is significantly decreased for patients
administered the new medication compared to the general
population of patients not receiving this medication41.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? The
most appropriate alternative hypothesis (in words) would be:
There
is no significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
There
is a significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
Duration
of hospital stay is significantly decreased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
Duration
of hospital stay is significantly increased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
42.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? What
is the value of the standard error?
0.36
0.54
1.19
2.10
4.6043.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? Which
of the following is the calculated/obtained test statistic for
this problem?
t
= 1.96
z
= 1.96
t
= 5.91
z
= 5.91
z
= 2.7144.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? Based
on your results, which decision would you make?
reject
the null hypothesis
fail
to reject the null hypothesis
reject
the alternator hypothesis
fail
to reject the alternator hypothesis
retain
the alternator hypothesis45.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? The
best conclusion for this problem is:
There
is a significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
There
is no significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
Duration
of hospital stay is significantly decreased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
Duration
of hospital stay is significantly increased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
46.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference in
duration of hospital stay because of the new medication? If
you were to calculate the 99% confidence interval, the mean that you
would use in this calculation is ____:
4.60
3.20
4.75
2.60
1.8247. Whenever
we reject the null hypothesis, as researchers what type of error
are we most concerned that we may have made?
Standard
error
Null
hypothesis error
Alternative
hypothesis error
Type
II statistical error
Type
I statistical error
48.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference in
duration of hospital stay because of the new medication? If
you were to calculate the 99% confidence interval, what is the
critical value that you would use?
+/-
1.65
+/-
1.70
+/-
1.96
+/-
2.33
+/-
2.58
49.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference in
duration of hospital stay because of the new medication? Calculate
the 99% confidence interval. Which 2 values will be
required to complete the equation for the confidence interval?
2.1416
< µ < 4.2584
1.7319
< µ < 3.4281
1.6609
< µ < 3.5391
1.8068
< µ < 4.5932
0
< µ < 1.96
50.
If α = .05
and β = .25, calculate the following: The
statistical decision is to reject the null, and H0
(the null) is really false (i.e., Power)
.05
.25
.75
.95
.01
51.
If α = .05
and β = .25, calculate the following: The
statistical decision is to fail reject the null, and H0
(the null) is really true (i.e., a correct decision)
.05
.75
.20
.01
.9552.
If α
= .05 and β = .25, calculate the following: The
statistical decision is to reject the null, and H0
(the null) is really true (i.e., a Type I error)
.05
.99
.20
.95
.01
53.
If α = .05
and β = .25, calculate the following: The
statistical decision is to fail to reject the null, and H0
(the null) is really false (i.e., a Type II error)
.05
.25
.75
.95
.01
MTH156 Critical Thinking 2
Option 1: Springdale Shopping Survey InstructionsThe major shopping areas in the community of Springdale include Springdal ...
MTH156 Critical Thinking 2
Option 1: Springdale Shopping Survey InstructionsThe major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents. The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey can be found in the file CODING.We will concentrate on variables 18–25, which reflect how important each of eight different attributes is in the respondent’s selection of a shopping area. Each of these variables has been measured on a scale of 1 (the attribute is not very important in choosing a shopping area) to 7 (the attribute is very important in choosing a shopping area). The attributes being rated for importance are listed below. Examining the relative importance customers place on these attributes can help a manager “fine-tune” his or her shopping area to make it a more attractive place to shop.18 Easy to return/exchange goods19 High quality of goods20 Low prices21 Good variety of sizes/styles22 Sales staff helpful/friendly23 Convenient shopping hours24 Clean stores and surroundings25 A lot of bargain salesPerform the following operations for variables 18–25:Compute descriptive statistics for each variable along with an explanation of what the descriptive statistics tell us about the variable. This will include the mean, mode, range, standard deviation, and the 5-number summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum). Be sure to show each calculation in your spreadsheet.Are there any data points for any of the variables that can be considered outliers? If there are any outliers in any variable, please list them and state for which variable they are an outlier. Use the z-score method to determine any outliers for this question. Be sure to show each z-score calculation in your spreadsheet for each variable.Based on the results for question 1, which attributes seem to be the most important and the least important in respondents’ choice of a shopping area? Which items from #1 did you use to decide on the least and most important attributes, and why?Determine the correlation coefficient between variable 19 and variables 21–25. Please provide an explanation of the relationships. Show your calculations for each correlation coefficient within the spreadsheet.Paper RequirementsWrite a report that applies the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in theCSU-Global Guide to Writing and APA (Links to an external site.)Links to an external site.. Items that should be included, at a minimum, are a title page, an introduction, a body which answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response.Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.
Grand Canyon University Probability Rules Statements Exercises
Directions: Use the following information to complete the assignment. While APA format is not required for the body of thi ...
Grand Canyon University Probability Rules Statements Exercises
Directions: Use the following information to complete the assignment. While APA format is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center. There are many misconceptions about probability which may include the following. All events are equally likelyLater events may be affected by or compensate for earlier onesWhen determining probability from statistical data, sample size is irrelevantResults of games of skill are unaffected by the nature of the participants“Lucky/Unlucky” numbers can influence random eventsIn random event involving selection, results are dependent on number rather than rationsIf events are random then the results of a series of independent events are equally likely The following statements are all incorrect. Explain the statements and the errors fully using the probability rules discussed in topic two. I have flipped and unbiased coin three times and got heads, it is more likely to get tails the next time I flip it. The Rovers play Mustangs. The Rovers can win, loose, or draw, so the probability that they win is 1/3. I roll two dice and ad the results. The probability of getting a total of 6 is 1/12 because there are 12 different possibilities and 6 is one of them. Mr. Purple has to have a major operation. 90% of the people who have this operation make a complete recovery. There is a 90% chance that Mr. Purple will make a complete recovery if he has this operation.I flip two coins. The probability of getting heads and tails is 1/3 because I can get Heads and Heads, Heads and Tails, or Tails and Tails. 13 is an unlucky number so you are less likely to win raffles with ticket number 13 than with a different dumber.
Walden Wk 5 Obesity and Fast Food Consumption Among Michigan Adults Discussion
Review this week’s Learning Resources.Find a news story in which the author(s) presents statistics as evidence. Consider ...
Walden Wk 5 Obesity and Fast Food Consumption Among Michigan Adults Discussion
Review this week’s Learning Resources.Find a news story in which the author(s) presents statistics as evidence. Consider the following questions:What is the author(s) trying to prove? In other words, what question is the author(s) trying to answer?What would the null hypothesis be?What would happen if the author(s) rejected the null?What action would the author(s) take?If there were a type I error, what would be the effect of the action taken?What would happen if the author(s) could not reject the null?What action would the author(s) take?If there were a type II error, what would be the effect of the action?
9 Statistics questions
The International Air Transport Association surveys business travelers to develop quality ratings for transatlantic gatewa ...
9 Statistics questions
The International Air Transport Association surveys business travelers to develop quality ratings for transatlantic gateway airports. The maximum possible rating is 10. Suppose a simple random sample of 50 business travelers is selected and each traveler is asked to provide a rating for the Miami International Airport. The ratings obtained from the sample of 50 business travelers follow.378910101099998567798109876879539101099898610847310898101088Develop a 95% confidence interval estimate of the population mean rating for Miami. Round your answers to two decimal places. Enter your answer using parentheses and a comma, in the form (n1,n2). Do not use commas in your numerical answer (i.e. use 1200 instead of 1,200, etc.)Suppose a random sample of size 53 is selected from a population with σ = 9. Find the value of the standard error of the mean in each of the following cases (use the finite population correction factor if appropriate).
a. The population size is infinite (to 2 decimals).b. The population size is N = 50,000 (to 2 decimals).c. The population size is N = 5000 (to 2 decimals).d. The population size is N = 500 (to 2 decimals).The budgeting process for a midwestern college resulted in expense forecasts for the coming year (in $ millions) of $9, $10, $11, $12, and $13. Because the actual expenses are unknown, the following respective probabilities are assigned: 0.28, 0.2, 0.2, 0.13, and 0.19.
Show the probability distribution for the expense forecast.
xf(x)910111213What is the expected value of the expense forecast for the coming year (to 2 decimals)? What is the variance of the expense forecast for the coming year (to 2 decimals)? If income projections for the year are estimated at $12 million, how much profit does the college expect to make (report your answer in millions of dollars, to 2 decimals)?A simple random sample of 700 individuals provides 100 Yes responses.a. What is the point estimate of the proportion of the population that would provide Yes responses (to 2 decimals)? b. What is your estimate of the standard error of the proportion (to 4 decimals)? c. Compute the 95% confidence interval for the population proportion (to 4 decimals).( , )America's young people are heavy Internet users; 87% of Americans ages 12 to 17 are Internet users (The Cincinnati Enquirer, February 7, 2006). MySpace was voted the most popular website by 9% in a sample survey of Internet users in this age group. Suppose 1,600 youths participated in the survey. What is the margin of error, and what is the interval estimate of the population proportion for which MySpace is the most popular website? Use a 95% confidence level and round your answers to 3 decimals. For interval estimate Enter your answer using parentheses and a comma, in the form (n1,n2). Do not use commas in your numerical answer (i.e. use 1200 instead of 1,200, etc.)Margin error =Interval estimate =A sociologist was hired by a large city hospital to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was chosen, and the following data were collected.Distance to WorkNumber of Days Absent1734476685102125141144181Which of the following scatter diagrams accurately represents these data?Scatter Diagram #1 Scatter Diagram #2 Scatter Diagram #3 - Select your answer -Scatter diagram #1Scatter diagram #2Scatter diagram #3Item 1Consider the following three scatter diagrams of the residuals against the independent variable. Which of the following accurately represents the data?Scatter Diagram #1 Scatter Diagram #2Scatter Diagram #3 - Select your answer -Scatter diagram #1Scatter diagram #2Scatter diagram #3Item 2 Develop the least squares estimated regression equation (to 3 decimals).Days Absent = + DistanceIs there a significant relationship between the two variables? Use = .05.Compute the value of the F test statistic (to 2 decimals). The p-value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 6 What is your conclusion?- Select your answer -Conclude that there is a significant relationship between days missed and distance from workDo not conclude that there is a significant relationship between days missed and distance from workItem 7 What is the value of r2 (to 3 decimals)? Note: report r2 between 0 and 1. Did the estimated regression equation provide a good fit?- Select your answer -Yes, it provided an exceptionally good fitYes, it provided a reasonably good fitNo, it did not provide an acceptable fitItem 9 Use the estimated regression equation developed in part (c) to develop a 95% confidence interval for the expected number of days absent for employees living 5 miles from the company (to 1 decimal).( , )When a new machine is functioning properly, only 7% of the items produced are defective. Assume that we will randomly select two parts produced on the machine and that we are interested in the number of defective parts found.a. Using the Figure 5.3, select a tree diagram that shows this problem as a two-trial experiment. Here D: defective; G: not defective.1. 2. 3. 4. Choose the Correct option from the above tree diagrams:Select1234Item 1b. How many experimental outcomes result in exactly one defect being found?c. Compute the probabilities associated with finding no defects, exactly one defect, and two defects (to 4 decimals).P (no defects)P (1 defect)P (2 defects)Consider the following hypothesis test:H0: μ ≤ 50Ha: μ > 50A sample of 60 is used and the population standard deviation is 6. Use the critical value approach to state your conclusion for each of the following sample results. Use α = .05. a. With x = 52.5, what is the value of the test statistic (to 2 decimals)? Can it be concluded that the population mean is greater than 50?- Select your answer -YesNoItem 2b. With x = 51, what is the value of the test statistic (to 2 decimals)? Can it be concluded that the population mean is greater than 50?- Select your answer -YesNoItem 4c. With x = 51.8, what is the value of the test statistic (to 2 decimals)? Can it be concluded that the population mean is greater than 50?- Select your answer -YesNoItem 6In San Francisco, 30% of workers take public transportation daily (USA Today, December 21, 2005). In a sample of 7 workers, what is the probability that exactly three workers take public transportation daily (to 4 decimals including interim calculations)? In a sample of 7 workers, what is the probability that at least three workers take public transportation daily (to 4 decimals including interim calculations)?The following data on price ($) and the overall score for 6 stereo headphones that were tested by Consumer Reports were as follows.BrandPriceScoreBose18077Scullcandy16072Koss9567Phillips/O'Neill7058Denon7040JVC3527a. Does the t test indicate a significant relationship between price and the overall score? The test t-Conclusion at α = .05t = (to 2 decimal places.)p-value is - Select your answer -less than .02between .02 and .05between .05 and .1between .1 and .2greater than .2Item 2What is your conclusion? Use α = .05.- Select your answer -There is a significant relationship between price and overall scoreThere is no significant relationship between price and overall scoreItem 3 .b. Test for a significant relationship using the F test. p-value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .1greater than .1Item 4What is your conclusion? Use α = .05.Because p-value is - Select your answer -greater than or equal toless than or equal toequal toItem 5 .05, we - Select your answer -acceptrejectItem 6 H0: β1 is - Select your answer -greater than or equal to zeroless than or equal to zeroequal to zeroItem 7 .c. Show the ANOVA table for these data. Round your answers to three decimal places, if necessary.Source of VariationSum of SquaresDegrees of FreedomMean SquareFp-valueRegression- Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .1greater than .1Item 12ErrorTotal40 mins ago
Similar Content
Corporate Finance Stock Split Discussion
Follow instructions attached, no plagiarism, word count ~ 700-900APPLE is only one of the multiple companies that have app...
MT of Southern Nevada Introduction to Supply Chain Management Paper
Introduction to Supply Chain Management if you are not in this field please dont bit. ...
MAT-126 Descriptive Stats
Complete 11 questions on Regression Equation fir a descriptive stats class....
Solve the equation, not sure if for X or to just simplify?
...
MATH 280 Minnesota State University Mankato Discrete Maths Exercises
I have attached the questions below, and please let me know if you have any questions. Thanks! ...
Colorado State University Bernoulli Process Examples
Read example 2 and make comments and additions about example 2. Your document should be minimum 150 words. Please have cre...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
CSCC Statistics Test Final
stats test
4
.The National Institute of Health randomly selected 520individuals who gave blood during the month of Ma ...
CSCC Statistics Test Final
stats test
4
.The National Institute of Health randomly selected 520individuals who gave blood during the month of May in order todetermine their blood types. The NIH plotted the percentage of theblood types in the pie chart depicted below.
What
is the number
of individuals from this sample who have blood type B?
16
20
28
36
104
5.
Regarding the pie chart image presented below (as well as in the
question above), what component of a good statistical picture is
missing?
Title
Labeling
The
Source
A
Line graph
6 Which
of the following might you use to best
display categorical
data?
Histogram
Pictogram
Line
graph
Stem
plot
Scatter
plot7.
You
have collected data on nurses’ annual salaries over a ten-year
period (2009 to 2019). Which of the following data organization
schemes would best highlight upward and downward changes over time?
Pictogram
Line
graph
Bar
graph
Pie
chart
Scatterplot
8.
Ohio
University sorted 150 new students into one of the four residence
hall greens as follows: East Green 44, South Green 40, West Green 35,
and North Green 31. In a Chi-Square test, what would EXPECTED
value (i.e., Expected Frequency)
be for the East Green?
37.5
42
44
84
1509.
A
Chi-square goodness-of-fit test was conducted on voter preferences in
a state primary (with candidates A, B, C, and D) that yielded a
calculated/obtained statistic of 7.82. If you used a critical value
of 6.22 to determine if the voters significantly preferred one
candidate over another, what conclusion would you draw?
Voters
showed no significant preference
Voters
showed a significant preference
Voters
showed a significant preference for candidate A over the others
Not
enough information is given to be able to answer this question
Answers
B and C are both correct10.Calculate
the expected value (i.e.,
expected frequency) for each
cell of the table below, for this Chi-Square Test for Independence.
What is the expected
value/frequency for the
Senior/Yes cell?
22.5
27.5
50
67.5
10011.
Ohio
University sorted 150 new students into one of the four residence
hall greens as follows: East Green 44, South Green 40, West Green 35,
and North Green 31. Which is the appropriate test to use to
determine whether there was a preference
regarding the green to which students were assigned?
Goodness
of Fit test
Test
for Independence
Parametric
test of significance
Z-test
T-test
12.
Which
of the following statistical tests would be appropriate to perform on
the data in the table depicted here?
Goodness
of Fit test
Test
for Independence
Parametric
test of significance
Z-test
T-test
13.
A
potential sponsor would like to know whether local viewers prefer
some evening news programs over others. The sponsor conducts a viewer
preference
survey based on a simple random sample of 260 households. The results
are: 54 preferred KTVO, 49 preferred KMDT, 68 preferred KLPF, and 89
preferred KZTV. A goodness-of-fit test performed on these data would
yield a calculated/obtained chi-square value of ______:
44.0
/ 40.0
2.72
7.90
60.0
/ 56.0
14.8014.
You
flip a coin four times. What is the probability of getting the
specific
outcome
of all heads on each of the four times instead of tails on each
of the four times?
0.00
0.50
0.25
1.00
none
of the above
15.
Event A has a probability of 0.25 and Event B has a probability
of 0.00. What is the probability associated with the joint occurrence
of these two independent
events?
0.00
0.50
0.25
1.00
none
of the above
16.
Bob has 15 colors of paints. He mixes 2 colors at a time. How many
different colors does he get when he mixes all possible pairs of
paints? This problem is an example of a _______________:
joint
probability
conditional
probability
combination
permutation
"given
that" probability17.
Let
us assume that all 102 students in this course are in one and only
one of the following programs: the TAS program, the BA program, or
the RN to BSN program. Let us assume further that the number of
students in each of these programs is equivalent (in other
words, there are 34 students in each program). What
is the probability of a student in this course being in either
the TAS program or
the BA program?
0.1111
0.3333
0.6667
0.9999
cannot
be determined
18.
A student who is
graduating from a large college is randomly selected. Which of the
following is the correct wording and interpretation of this
probability statement?
p(J
/ N), where J represents the student getting a job, and N
represents the student networking with local employers
The
probability that a randomly selected student gets a job
The
probability that a randomly selected student gets a job and
networks with local employers
The
probability that a randomly selected student networks with local
employers given that the student gets a job
The
probability that a randomly selected student gets a job given that
the student networks with local employers
The
probability that a randomly selected student gets a job or
networks with local employers
19.
Ten students from
this class are running a race. How many different ways
are there for the 10 students to get first, second, and third
place? This question is an example of a _____________:
joint
probability
conditional
probability
combination
permutation
either/or
probability
20.
Five students from
this class are running a race. How many different ways are
there for the 5 students to get first, second, and third
place? For
this problem, what is N?
3
4
5
6
none
of the above21.
Five
students from this class are running a race. How many different
ways are there for the 5 students to get first, second, and
third place? For
this problem, what is r?
3
4
5
6
none
of the above22.
Five
students from this class are running a race. How many different
ways are there for the 5 students to get first, second, and
third place? What is the calculated value for this problem?
3
10
15
20
60
23.
To
drum up business and to get customers to try different varieties
of cupcakes, a local bakery is offering one free “luck of the draw”
cupcake. That is, a cupcake is randomly selected from what is on hand
and given to the customer to try. Currently, the cupcakes available
are made of chocolate, vanilla, or strawberry and have one of three
toppings: rainbow sprinkles, chocolate chips, or gummy bears. The
different configurations of the 100 cupcakes available for the “luck
of the draw” promotion are depicted in the table below.
What
is the probability of receiving a chocolate cupcake with rainbow
sprinkles?
0.1395
0.3000
0.0600
0.1000
0.0500
24.
To
drum up business and to get customers to try different varieties
of cupcakes, a local bakery is offering one free “luck of
the draw” cupcake. That is, a cupcake is randomly
selected from what is on hand and given to the customer to
try. Currently, the cupcakes available are made of
chocolate, vanilla, or
strawberry and have one of three toppings: rainbow
sprinkles, chocolate chips, or gummy bears. The
different configurations of the 100 cupcakes available for
the “luck of the draw” promotion are depicted in the
table below.What
is the probability that a cupcake is strawberry given
that
it has rainbow sprinkles?
0.3636
0.3429
0.1200
0.3300
none
of the above
25.
To
drum up business and to get customers to try different varieties
of cupcakes, a local bakery is offering one free “luck of
the draw” cupcake. That is, a cupcake is randomly
selected from what is on hand and given to the customer to
try. Currently, the cupcakes available are made of
chocolate, vanilla, or
strawberry and have one of three toppings: rainbow
sprinkles, chocolate chips, or gummy bears. The
different configurations of the 100 cupcakes available for
the “luck of the draw” promotion are depicted in the
table below.
What
is the probability that a cupcake is vanilla with either
rainbow sprinkles or
gummy bears?
0.1395
0.2666
0.0880
0.1444
0.130026.
(9!)
/ (5!) =
3,024
5040
43,545,600
604800
In
statistics, we cannot divide or multiply factorials27. During
which decade
was inflation the highest, as measured by the percentage change in
the CPI?
1940s
1950s
1960s
1970s
1980s28.
What
was the rate of inflation during the decade
of the 1950s, as measured by percentage change in CPI?
22.82%
31.08%
58.62%
72.14%
112.37%
29.
The average price of a new house was $3,395 in 1915, when the
CPI was 10.1. How much would the average new house cost in 1995 when
adjusted for inflation? (The CPI in 1995 was 152.4.)
$34,289.50
$43,580.20
$51,227.52
$73,892.54
$87,652.8930.
What
was the rate of inflation during the decade
of the 1980s, as measured by percentage change in CPI?
22.82%
31.08%
58.62%
72.14%
112.37%31.
Using
1989 as a base, the price index for computers is now 185. What does
this index number mean?
The
price of computers has decreased 85% since 1989
The
price of computers has increased 85% since 1989
The
price of computers has increased 185% since 1989
The
price of computers has increased 100% since 1989
The
price of computers is now $185 more than in 198932.
An economic
indicator that is _____________ is one in which the highs, lows, and
changes tend to come after or following changes in the economy.
leading
receding
preceding
sluggish
lagging33. Which
one of the following is NOT
one of the major uses of the CPI?
The
CPI is used to evaluate and determine economic policy.
The
CPI is used to determine economic trends in the rural United
States.
The
CPI is used to compare prices in different years.
The
CPI is used to determine salary and price adjustments.
All
of the above answers are major uses of the CPI.34.
Much
of the rest of the exam is based on the following problem:In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation
of 1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference
in duration of hospital stay because of the new medication?
The
appropriate statistical procedure for this problem would be a
___________?
t-test
z-test
Chi-square
Goodness of Fit
Chi-square
Test for Independence
Pearson
r correlation35.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference in
duration of hospital stay because of the new medication?
What
type of test is this?
One-tailed
Two-tailed
Three-tailed
Four-tailed
Joint
conditional probability36.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? The
most appropriate alternative hypothesis (in symbols) would be:
newmed =
4.75
newmed =
2.60
newmed
≠
4.75
newmed <
4.75
newmed >
2.60
37.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication?
The
most appropriate null hypothesis (in symbols) would be:
newmed =
2.60
newmed
= 4.75
newmed >
2.60
newmed > 4.75
newmed <
2.6038.
n
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication?For
this problem, the correct sign for the critical value should be:
+
-
<
>
+/-39.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? Which
of the following is the critical value associated with an alpha
level of .05 that you should use to evaluate the null hypothesis?
(Use your tables.)
1.65
1.70
1.96
2.58
2.6040.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? The
most appropriate null hypothesis (in words) should be:
There
is a significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
There
is no significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
Duration
of hospital stay is not significantly increased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
Duration
of hospital stay is significantly decreased for patients
administered the new medication compared to the general
population of patients not receiving this medication41.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? The
most appropriate alternative hypothesis (in words) would be:
There
is no significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
There
is a significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
Duration
of hospital stay is significantly decreased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
Duration
of hospital stay is significantly increased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
42.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? What
is the value of the standard error?
0.36
0.54
1.19
2.10
4.6043.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? Which
of the following is the calculated/obtained test statistic for
this problem?
t
= 1.96
z
= 1.96
t
= 5.91
z
= 5.91
z
= 2.7144.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? Based
on your results, which decision would you make?
reject
the null hypothesis
fail
to reject the null hypothesis
reject
the alternator hypothesis
fail
to reject the alternator hypothesis
retain
the alternator hypothesis45.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new
medication will impact duration of hospital stay. The first
sample of 25 patients (n=25) to whom this medication was
administered were released from the hospital in a mean
(average) of 2.60 days. Based on this result, should the hospital
conclude that there is a significant
difference in
duration of hospital stay because of the new medication? The
best conclusion for this problem is:
There
is a significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
There
is no significant difference in the duration of hospital stay
when patients administered the new medication are compared to
the general population of patients not receiving this
medication.
Duration
of hospital stay is significantly decreased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
Duration
of hospital stay is significantly increased for patients
administered the new medication compared to the general
population of patients not receiving this medication.
46.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference in
duration of hospital stay because of the new medication? If
you were to calculate the 99% confidence interval, the mean that you
would use in this calculation is ____:
4.60
3.20
4.75
2.60
1.8247. Whenever
we reject the null hypothesis, as researchers what type of error
are we most concerned that we may have made?
Standard
error
Null
hypothesis error
Alternative
hypothesis error
Type
II statistical error
Type
I statistical error
48.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference in
duration of hospital stay because of the new medication? If
you were to calculate the 99% confidence interval, what is the
critical value that you would use?
+/-
1.65
+/-
1.70
+/-
1.96
+/-
2.33
+/-
2.58
49.
In
the general population, patients who are recovering from bronchial
pneumonia normally take a mean (average) of 4.75 days to leave
the hospital, with a population
standard deviation of
1.82 days. Medical personnel at a hospital are trying a
new medication that is designed to ease breathing during
recovery. What is not currently known is whether the new medication
will impact duration of hospital stay. The first sample of 25
patients (n=25) to whom this medication was administered
were released from the hospital in a mean (average) of 2.60
days. Based on this result, should the hospital conclude that there
is a significant
difference in
duration of hospital stay because of the new medication? Calculate
the 99% confidence interval. Which 2 values will be
required to complete the equation for the confidence interval?
2.1416
< µ < 4.2584
1.7319
< µ < 3.4281
1.6609
< µ < 3.5391
1.8068
< µ < 4.5932
0
< µ < 1.96
50.
If α = .05
and β = .25, calculate the following: The
statistical decision is to reject the null, and H0
(the null) is really false (i.e., Power)
.05
.25
.75
.95
.01
51.
If α = .05
and β = .25, calculate the following: The
statistical decision is to fail reject the null, and H0
(the null) is really true (i.e., a correct decision)
.05
.75
.20
.01
.9552.
If α
= .05 and β = .25, calculate the following: The
statistical decision is to reject the null, and H0
(the null) is really true (i.e., a Type I error)
.05
.99
.20
.95
.01
53.
If α = .05
and β = .25, calculate the following: The
statistical decision is to fail to reject the null, and H0
(the null) is really false (i.e., a Type II error)
.05
.25
.75
.95
.01
MTH156 Critical Thinking 2
Option 1: Springdale Shopping Survey InstructionsThe major shopping areas in the community of Springdale include Springdal ...
MTH156 Critical Thinking 2
Option 1: Springdale Shopping Survey InstructionsThe major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents. The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey can be found in the file CODING.We will concentrate on variables 18–25, which reflect how important each of eight different attributes is in the respondent’s selection of a shopping area. Each of these variables has been measured on a scale of 1 (the attribute is not very important in choosing a shopping area) to 7 (the attribute is very important in choosing a shopping area). The attributes being rated for importance are listed below. Examining the relative importance customers place on these attributes can help a manager “fine-tune” his or her shopping area to make it a more attractive place to shop.18 Easy to return/exchange goods19 High quality of goods20 Low prices21 Good variety of sizes/styles22 Sales staff helpful/friendly23 Convenient shopping hours24 Clean stores and surroundings25 A lot of bargain salesPerform the following operations for variables 18–25:Compute descriptive statistics for each variable along with an explanation of what the descriptive statistics tell us about the variable. This will include the mean, mode, range, standard deviation, and the 5-number summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum). Be sure to show each calculation in your spreadsheet.Are there any data points for any of the variables that can be considered outliers? If there are any outliers in any variable, please list them and state for which variable they are an outlier. Use the z-score method to determine any outliers for this question. Be sure to show each z-score calculation in your spreadsheet for each variable.Based on the results for question 1, which attributes seem to be the most important and the least important in respondents’ choice of a shopping area? Which items from #1 did you use to decide on the least and most important attributes, and why?Determine the correlation coefficient between variable 19 and variables 21–25. Please provide an explanation of the relationships. Show your calculations for each correlation coefficient within the spreadsheet.Paper RequirementsWrite a report that applies the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in theCSU-Global Guide to Writing and APA (Links to an external site.)Links to an external site.. Items that should be included, at a minimum, are a title page, an introduction, a body which answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response.Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.
Grand Canyon University Probability Rules Statements Exercises
Directions: Use the following information to complete the assignment. While APA format is not required for the body of thi ...
Grand Canyon University Probability Rules Statements Exercises
Directions: Use the following information to complete the assignment. While APA format is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center. There are many misconceptions about probability which may include the following. All events are equally likelyLater events may be affected by or compensate for earlier onesWhen determining probability from statistical data, sample size is irrelevantResults of games of skill are unaffected by the nature of the participants“Lucky/Unlucky” numbers can influence random eventsIn random event involving selection, results are dependent on number rather than rationsIf events are random then the results of a series of independent events are equally likely The following statements are all incorrect. Explain the statements and the errors fully using the probability rules discussed in topic two. I have flipped and unbiased coin three times and got heads, it is more likely to get tails the next time I flip it. The Rovers play Mustangs. The Rovers can win, loose, or draw, so the probability that they win is 1/3. I roll two dice and ad the results. The probability of getting a total of 6 is 1/12 because there are 12 different possibilities and 6 is one of them. Mr. Purple has to have a major operation. 90% of the people who have this operation make a complete recovery. There is a 90% chance that Mr. Purple will make a complete recovery if he has this operation.I flip two coins. The probability of getting heads and tails is 1/3 because I can get Heads and Heads, Heads and Tails, or Tails and Tails. 13 is an unlucky number so you are less likely to win raffles with ticket number 13 than with a different dumber.
Walden Wk 5 Obesity and Fast Food Consumption Among Michigan Adults Discussion
Review this week’s Learning Resources.Find a news story in which the author(s) presents statistics as evidence. Consider ...
Walden Wk 5 Obesity and Fast Food Consumption Among Michigan Adults Discussion
Review this week’s Learning Resources.Find a news story in which the author(s) presents statistics as evidence. Consider the following questions:What is the author(s) trying to prove? In other words, what question is the author(s) trying to answer?What would the null hypothesis be?What would happen if the author(s) rejected the null?What action would the author(s) take?If there were a type I error, what would be the effect of the action taken?What would happen if the author(s) could not reject the null?What action would the author(s) take?If there were a type II error, what would be the effect of the action?
9 Statistics questions
The International Air Transport Association surveys business travelers to develop quality ratings for transatlantic gatewa ...
9 Statistics questions
The International Air Transport Association surveys business travelers to develop quality ratings for transatlantic gateway airports. The maximum possible rating is 10. Suppose a simple random sample of 50 business travelers is selected and each traveler is asked to provide a rating for the Miami International Airport. The ratings obtained from the sample of 50 business travelers follow.378910101099998567798109876879539101099898610847310898101088Develop a 95% confidence interval estimate of the population mean rating for Miami. Round your answers to two decimal places. Enter your answer using parentheses and a comma, in the form (n1,n2). Do not use commas in your numerical answer (i.e. use 1200 instead of 1,200, etc.)Suppose a random sample of size 53 is selected from a population with σ = 9. Find the value of the standard error of the mean in each of the following cases (use the finite population correction factor if appropriate).
a. The population size is infinite (to 2 decimals).b. The population size is N = 50,000 (to 2 decimals).c. The population size is N = 5000 (to 2 decimals).d. The population size is N = 500 (to 2 decimals).The budgeting process for a midwestern college resulted in expense forecasts for the coming year (in $ millions) of $9, $10, $11, $12, and $13. Because the actual expenses are unknown, the following respective probabilities are assigned: 0.28, 0.2, 0.2, 0.13, and 0.19.
Show the probability distribution for the expense forecast.
xf(x)910111213What is the expected value of the expense forecast for the coming year (to 2 decimals)? What is the variance of the expense forecast for the coming year (to 2 decimals)? If income projections for the year are estimated at $12 million, how much profit does the college expect to make (report your answer in millions of dollars, to 2 decimals)?A simple random sample of 700 individuals provides 100 Yes responses.a. What is the point estimate of the proportion of the population that would provide Yes responses (to 2 decimals)? b. What is your estimate of the standard error of the proportion (to 4 decimals)? c. Compute the 95% confidence interval for the population proportion (to 4 decimals).( , )America's young people are heavy Internet users; 87% of Americans ages 12 to 17 are Internet users (The Cincinnati Enquirer, February 7, 2006). MySpace was voted the most popular website by 9% in a sample survey of Internet users in this age group. Suppose 1,600 youths participated in the survey. What is the margin of error, and what is the interval estimate of the population proportion for which MySpace is the most popular website? Use a 95% confidence level and round your answers to 3 decimals. For interval estimate Enter your answer using parentheses and a comma, in the form (n1,n2). Do not use commas in your numerical answer (i.e. use 1200 instead of 1,200, etc.)Margin error =Interval estimate =A sociologist was hired by a large city hospital to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was chosen, and the following data were collected.Distance to WorkNumber of Days Absent1734476685102125141144181Which of the following scatter diagrams accurately represents these data?Scatter Diagram #1 Scatter Diagram #2 Scatter Diagram #3 - Select your answer -Scatter diagram #1Scatter diagram #2Scatter diagram #3Item 1Consider the following three scatter diagrams of the residuals against the independent variable. Which of the following accurately represents the data?Scatter Diagram #1 Scatter Diagram #2Scatter Diagram #3 - Select your answer -Scatter diagram #1Scatter diagram #2Scatter diagram #3Item 2 Develop the least squares estimated regression equation (to 3 decimals).Days Absent = + DistanceIs there a significant relationship between the two variables? Use = .05.Compute the value of the F test statistic (to 2 decimals). The p-value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 6 What is your conclusion?- Select your answer -Conclude that there is a significant relationship between days missed and distance from workDo not conclude that there is a significant relationship between days missed and distance from workItem 7 What is the value of r2 (to 3 decimals)? Note: report r2 between 0 and 1. Did the estimated regression equation provide a good fit?- Select your answer -Yes, it provided an exceptionally good fitYes, it provided a reasonably good fitNo, it did not provide an acceptable fitItem 9 Use the estimated regression equation developed in part (c) to develop a 95% confidence interval for the expected number of days absent for employees living 5 miles from the company (to 1 decimal).( , )When a new machine is functioning properly, only 7% of the items produced are defective. Assume that we will randomly select two parts produced on the machine and that we are interested in the number of defective parts found.a. Using the Figure 5.3, select a tree diagram that shows this problem as a two-trial experiment. Here D: defective; G: not defective.1. 2. 3. 4. Choose the Correct option from the above tree diagrams:Select1234Item 1b. How many experimental outcomes result in exactly one defect being found?c. Compute the probabilities associated with finding no defects, exactly one defect, and two defects (to 4 decimals).P (no defects)P (1 defect)P (2 defects)Consider the following hypothesis test:H0: μ ≤ 50Ha: μ > 50A sample of 60 is used and the population standard deviation is 6. Use the critical value approach to state your conclusion for each of the following sample results. Use α = .05. a. With x = 52.5, what is the value of the test statistic (to 2 decimals)? Can it be concluded that the population mean is greater than 50?- Select your answer -YesNoItem 2b. With x = 51, what is the value of the test statistic (to 2 decimals)? Can it be concluded that the population mean is greater than 50?- Select your answer -YesNoItem 4c. With x = 51.8, what is the value of the test statistic (to 2 decimals)? Can it be concluded that the population mean is greater than 50?- Select your answer -YesNoItem 6In San Francisco, 30% of workers take public transportation daily (USA Today, December 21, 2005). In a sample of 7 workers, what is the probability that exactly three workers take public transportation daily (to 4 decimals including interim calculations)? In a sample of 7 workers, what is the probability that at least three workers take public transportation daily (to 4 decimals including interim calculations)?The following data on price ($) and the overall score for 6 stereo headphones that were tested by Consumer Reports were as follows.BrandPriceScoreBose18077Scullcandy16072Koss9567Phillips/O'Neill7058Denon7040JVC3527a. Does the t test indicate a significant relationship between price and the overall score? The test t-Conclusion at α = .05t = (to 2 decimal places.)p-value is - Select your answer -less than .02between .02 and .05between .05 and .1between .1 and .2greater than .2Item 2What is your conclusion? Use α = .05.- Select your answer -There is a significant relationship between price and overall scoreThere is no significant relationship between price and overall scoreItem 3 .b. Test for a significant relationship using the F test. p-value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .1greater than .1Item 4What is your conclusion? Use α = .05.Because p-value is - Select your answer -greater than or equal toless than or equal toequal toItem 5 .05, we - Select your answer -acceptrejectItem 6 H0: β1 is - Select your answer -greater than or equal to zeroless than or equal to zeroequal to zeroItem 7 .c. Show the ANOVA table for these data. Round your answers to three decimal places, if necessary.Source of VariationSum of SquaresDegrees of FreedomMean SquareFp-valueRegression- Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .1greater than .1Item 12ErrorTotal40 mins ago
Earn money selling
your Study Documents