Description
picture of question below
multiple parts
let me know if you are interested in answering a couple questions after this one. it is a timed test
Unformatted Attachment Preview
Use the data table and scatterplot for life expectancy and infant mortality to complete parts (a) through (c).
Click the icon to view the data table.
Click the icon to view the scatterplot.
a. Insert a best-fit line in the given scatterplot. Choose the correct graph below.
OA
OB
OC
120-
.
120
100-
80-1
Q
Infant mortality rate
120-
100-
80-
.
60-
40-
20-
0-
50 60 70 80 90
Life expectancy (years)
60-1
40-
20-
0-
50 60 70 80 90
Life expectancy (years)
Infant mortality rate
100
80-
60-
40-
20-
0+
50 60 70 80 90
Life expectancy wears)
-
Life expectancy and infant mortality data table
X Х
b. Computer and r2. Based on the value for r?, determine how much of the variation in the variable can be accounted for by the best-fit line.
r=
2=0
(Round to two decimal places as needed.)
The best-fit line accounts for about % of the variation in
(Round to the nearest integer as needed.)
c. Briefly discuss whether one could make valid predictions from this best-fit line. Choose the best answer below.
Infant mortality
Country Life expectancy (years) deaths per 1,000
live births)
1
57
107
2
56
110
110
3
56
60
4
55
77
5
57
45
6
68
37
7
60
49
8
63
79
9
61
40
10
61
47
Click to select your answer(s).
Save for Later
Purchase answer to see full attachment
Purchase answer to see full attachment
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
a. Bb. r = ...
Completion Status:
100%
Review
Review
Anonymous
I was struggling with this subject, and this helped me a ton!
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
MCAD Hypothesis Test for a Difference in Two Population Means Worksheet
Learn by DoingIn this activity you will learn to use StatCrunch to perform a two-sample t-test.Some features of this activ ...
MCAD Hypothesis Test for a Difference in Two Population Means Worksheet
Learn by DoingIn this activity you will learn to use StatCrunch to perform a two-sample t-test.Some features of this activity may not work well on a cell phone or
tablet. We highly recommend that you complete this activity on a
computer.Here are the directions and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextDo undergraduates sleep less than graduate students?A student conducted a study of sleep habits at a large state
university. His hypothesis is that undergraduates will party more and
sleep less than graduate students. He surveyed random samples of 75
undergraduate students and 50 graduate students. Subjects reported the
hours they sleep in a typical night.For this hypothesis test, he defined the population means as follows:
μ
1
is the mean number of hours undergraduate students sleep in a typical night.
μ
2
is the mean number of hours graduate students sleep in a typical night.VariablesHours: typical number of hours a student sleeps each night Program: undergraduate or graduate Program is the explanatory variable, and the data is categorical. Hours is the response variable, and the data is quantitative.DataTwo sample T hypothesis test:μ1 : Mean of undergraduateμ2 : Mean of graduateμ1 - μ2 : Difference between two meansH0 : μ1 - μ2 = 0HA : μ1 - μ2 < 0(without pooled variances)Hypothesis test results:
DifferenceSample Diff.Std. Err.DFT-StatP-value
μ1 - μ2-0.233333330.18963708106.32776-1.23042040.1106
PromptState the null and alternative hypotheses. Include a clear description of the populations and the variable.Explain why we can safely use the two-sample T-test in this case.Use StatCrunch to carry out the test. Copy and paste the content of in the StatCrunch output window (text and the table) in your initial post. State a conclusion in the context of this problem.ANSWER(S): (hint)Since we want to check whether the data supports the claim that
undergraduate students sleep less, on average, than graduate students,
we are testing:
H
0
:
μ
1
−
μ
2
=
0
H
a
:
μ
1
−
μ
2
<
0
We can safely use the two-sample T-test in this case since:
Both samples are random, and therefore independent.The sample sizes (75 and 50) are quite large, and therefore we can
proceed regardless of whether the populations are normal or not.
T = -1.23; P-value = 0.111Here is the StatCrunch output depicting these values.Two sample T hypothesis test:
μ
1
: Mean of undergraduate
μ
2
: Mean of graduate
H
0
:
μ
1
−
μ
2
=
0
H
a
:
μ
1
−
μ
2
<
0
(without pooled variances)
Hypothesis test results:
Difference
Sample Diff.
Sd. Err.
DF
T-Stat
P-Value
μ1 - μ2
-0.23333333
0.18963708
106.32776
-1.2304204
0.1106
The P-value (0.111) is greater than 0.05. This indicates that
the observed data is not unusual if undergraduate and graduate students,
on average, have the same mean for sleep hours. Therefore, the data do
not provide evidence to reject
H
0
. So we cannot conclude that undergraduate students sleep less, on average, than graduate students.
TAMIU Relationship Between Sugary Drinks & Obesity Statistical Hypothesis Discussion
Write a null and alternate hypothesis for the research problem statement that you wrote. In your document (400 words minim ...
TAMIU Relationship Between Sugary Drinks & Obesity Statistical Hypothesis Discussion
Write a null and alternate hypothesis for the research problem statement that you wrote. In your document (400 words minimum), present the problem statement that you wrote, the null and alternate hypothesis for that research problem, and a discussion on how probability (p-values) is used in statistical analysis.
12 pages
Algebra 2 Part 222 Final Exam Nc
Directions: Answer the questions below. Make sure to show your work and justify all your 1. Bradley dropped a ball from a ...
Algebra 2 Part 222 Final Exam Nc
Directions: Answer the questions below. Make sure to show your work and justify all your 1. Bradley dropped a ball from a roof 16 feet high. Each time ...
12 pages
Solutions Data 2
What's your GPA? - Round to the nearest tenth Assigned to the BrAC ≤ .02 group in the alcohol testing question Reported ...
Solutions Data 2
What's your GPA? - Round to the nearest tenth Assigned to the BrAC ≤ .02 group in the alcohol testing question Reported number of drinks in the ...
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
Similar Content
HEAL 105 Howard College Medication Administration Calculation Questions
Please comeplete the following and show work. File will be attached.................
MA 123 Excel Piecewise Function Worksheet
Would you follow the instruction and complete the project of Excel spread sheet, and use the different column for the tabl...
Towson University Statistics Worksheet
Submission format: Excel file (.xlsx): Please create a separate sheet for the answers to each of
the questions. Make sure ...
applied problem about econmics
Hello, I attached the applied problem that needs to be solved ...
MATH 1475 CUNY New York City College of Technology Calculus Problems
Question. Betty can make either "20 bottles of wine and 0 boxes of chocolates" or "O bottles of
wine and 160 boxes of choc...
Statistics just 8 ........,,,,,,,,,,
...
Should Mathematics and Science be taught in English
English, by any standard, is a dominant language of the developed world. It is now a medium of instruction in the world an...
Question3
Observing the table of z, for each of the values given in the exercise, we have that:...
Question Answers Final
...
Related Tags
Book Guides
The 7 Habits of Highly Effective People
by Stephen R. Covey
How to Win Friends and Influence People
by Dale Carnegie
Invisible Man
by Ralph Ellison
Sense And Sensibility
by Jane Austen
Oliver Twist
by Charles Dickens
Jane Eyre
by Charlotte Brontë
The Age Of Light
by Whitney Scharer
To the Lighthouse
by Virginia Woolf
The Point of it All - A Lifetime of Great Loves and Endeavors
by Charles Krauthammer
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
MCAD Hypothesis Test for a Difference in Two Population Means Worksheet
Learn by DoingIn this activity you will learn to use StatCrunch to perform a two-sample t-test.Some features of this activ ...
MCAD Hypothesis Test for a Difference in Two Population Means Worksheet
Learn by DoingIn this activity you will learn to use StatCrunch to perform a two-sample t-test.Some features of this activity may not work well on a cell phone or
tablet. We highly recommend that you complete this activity on a
computer.Here are the directions and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextDo undergraduates sleep less than graduate students?A student conducted a study of sleep habits at a large state
university. His hypothesis is that undergraduates will party more and
sleep less than graduate students. He surveyed random samples of 75
undergraduate students and 50 graduate students. Subjects reported the
hours they sleep in a typical night.For this hypothesis test, he defined the population means as follows:
μ
1
is the mean number of hours undergraduate students sleep in a typical night.
μ
2
is the mean number of hours graduate students sleep in a typical night.VariablesHours: typical number of hours a student sleeps each night Program: undergraduate or graduate Program is the explanatory variable, and the data is categorical. Hours is the response variable, and the data is quantitative.DataTwo sample T hypothesis test:μ1 : Mean of undergraduateμ2 : Mean of graduateμ1 - μ2 : Difference between two meansH0 : μ1 - μ2 = 0HA : μ1 - μ2 < 0(without pooled variances)Hypothesis test results:
DifferenceSample Diff.Std. Err.DFT-StatP-value
μ1 - μ2-0.233333330.18963708106.32776-1.23042040.1106
PromptState the null and alternative hypotheses. Include a clear description of the populations and the variable.Explain why we can safely use the two-sample T-test in this case.Use StatCrunch to carry out the test. Copy and paste the content of in the StatCrunch output window (text and the table) in your initial post. State a conclusion in the context of this problem.ANSWER(S): (hint)Since we want to check whether the data supports the claim that
undergraduate students sleep less, on average, than graduate students,
we are testing:
H
0
:
μ
1
−
μ
2
=
0
H
a
:
μ
1
−
μ
2
<
0
We can safely use the two-sample T-test in this case since:
Both samples are random, and therefore independent.The sample sizes (75 and 50) are quite large, and therefore we can
proceed regardless of whether the populations are normal or not.
T = -1.23; P-value = 0.111Here is the StatCrunch output depicting these values.Two sample T hypothesis test:
μ
1
: Mean of undergraduate
μ
2
: Mean of graduate
H
0
:
μ
1
−
μ
2
=
0
H
a
:
μ
1
−
μ
2
<
0
(without pooled variances)
Hypothesis test results:
Difference
Sample Diff.
Sd. Err.
DF
T-Stat
P-Value
μ1 - μ2
-0.23333333
0.18963708
106.32776
-1.2304204
0.1106
The P-value (0.111) is greater than 0.05. This indicates that
the observed data is not unusual if undergraduate and graduate students,
on average, have the same mean for sleep hours. Therefore, the data do
not provide evidence to reject
H
0
. So we cannot conclude that undergraduate students sleep less, on average, than graduate students.
TAMIU Relationship Between Sugary Drinks & Obesity Statistical Hypothesis Discussion
Write a null and alternate hypothesis for the research problem statement that you wrote. In your document (400 words minim ...
TAMIU Relationship Between Sugary Drinks & Obesity Statistical Hypothesis Discussion
Write a null and alternate hypothesis for the research problem statement that you wrote. In your document (400 words minimum), present the problem statement that you wrote, the null and alternate hypothesis for that research problem, and a discussion on how probability (p-values) is used in statistical analysis.
12 pages
Algebra 2 Part 222 Final Exam Nc
Directions: Answer the questions below. Make sure to show your work and justify all your 1. Bradley dropped a ball from a ...
Algebra 2 Part 222 Final Exam Nc
Directions: Answer the questions below. Make sure to show your work and justify all your 1. Bradley dropped a ball from a roof 16 feet high. Each time ...
12 pages
Solutions Data 2
What's your GPA? - Round to the nearest tenth Assigned to the BrAC ≤ .02 group in the alcohol testing question Reported ...
Solutions Data 2
What's your GPA? - Round to the nearest tenth Assigned to the BrAC ≤ .02 group in the alcohol testing question Reported number of drinks in the ...
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
Earn money selling
your Study Documents