Module 8: Submitted Homework Assignment
**Module 8 Submitted Homework Assignment is worth 20 points (5% of your grade)
Write answers for the following and submit them via email according to the schedule in the
course syllabus. Be sure your answers are contained in the body of your message. Do NOT send
them as attachments.
Send your answers to Module 8 to the instructor: mccartc1@ohio.edu
The questions are structured so that a single letter, word, or number will suffice. Computational
questions are arranged so that partial credit can be given for each step answered correctly.
Always use the following model to submit your answers to the questions.
EXAMPLE:
Your name:
Module Number:
Answers
Q1 C
Q2 B
Q3 A, etc.
If the question requires computation, do the calculations and then give the correct
values as follows:
(Always hold all decimal values through your computations, and round final
answers to at least two decimal places)!
Q4 7
Q5 4
Q6 22, etc.
If the question is a fill in the blank, just put in the appropriate word(s) as follows:
Q7 statistics
Q8 dependent variable, etc.
Module 8 Questions—Submit answers via email to mccartc1@ohio.edu according to above
instructions: (There are 20 questions to be answered for Module 8)
The following 4 questions (Q1 to Q4) are based on the following information:
You and your friends have decided to go to The Kentucky Derby. There are 12 horses in
the race. How many ways can the horses come in first, second, or third?
Steps for Calculation:
Q1: Is this an example of a combination or a permutation?
Q2:
What is N?
Q3:
What is r?
Q4:
What is the calculated value for this example?
The following 4 questions (Q5 to Q8) are based on the following information:
You have 16 friends that you want to invite to dinner. However, you dining room table
only seats 6 people. Since, you will take up one seat, you can only have five friends at one time.
How many different groups of guests can you have?
Steps for Calculation:
Q5: Is this an example of a combination or a permutation?
Q6:
What is N?
Q7:
What is r?
Q8:
What is the calculated value for this example?
The following 2 questions (Q9 to Q10) are either “True” or “False”
Q9: With a combination ‘order matters’.
Q10: 5! is equal to 120.
Q11: Which one of the following is NOT one of the major uses of the CPI?
A. The CPI is used to evaluate and determine economic policy.
B. The CPI is used to compare prices in different years.
C. The CPI is used to determine salary and price adjustments.
D. All of the above three answers are major uses of the CPI.
Q12: Using the 1989 base as a base, the price index for computers is now 125. What does this
index number mean?
A. price of computers has decreased 25% since 1989
B. price of computers has increased 25% since 1989
C. price of computers has increased 125% since 1989
D. none of the above three answers are correct
Q13: A _____________ economic indicator is one whose changes lag behind or follow
changes in the economy.
A. Lagging
B. Coincidence
C. Leading
Q14: Some criticisms of the CPI include all of the following except:
A. the market basket used in the CPI may not reflect current spending priorities
B. the CPI does not adjust for changes in quality
C. the CPI takes advantage of sale prices
D. the CPI does not measure prices for rural Americans
The following 2 questions (Q15 to Q16) are based on the following information:
The CPI’s at the start of each decade from 1940 to 1990 were:
Year 1940 1950 1960 1970 1980 1990
CPI 14.0 24.1 29.6 38.8 82.4 130.7
Q15: What was the rate of inflation for the 1950’s, as measured by the percentage change in
the CPI?
Q16: What was the rate of inflation for the 1970’s, as measured by the percentage change in
the CPI?
Q17: Name the major category added for the market basket of goods and services in 1998?
Q18: Tuition at University Z was $1200 per quarter in 1985 (CPI = 107.6). How much should
tuition be in 2001 adjusted for inflation (CPI = 175.1)?
The following 2 questions (Q19 to Q20) are either “True” or “False”
Q19: ‘Child care’ is one of the eight major categories of goods and services in the market
basket.
Q20: The current ‘base period’ that we are on is 1982-1984.
Modules 9 and 10 (Combined): Submitted Homework Assignment
**Modules 9 and 10 (Combined) Submitted Homework Assignment is worth 40 points
(10% of your grade)
Write answers for the following and submit them via email according to the schedule in the
course syllabus. Be sure your answers are contained in the body of your message. Do NOT send
them as attachments.
Send your answers to Modules 9 and 10 (Combined) to the instructor: mccartc1@ohio.edu
The questions are structured so that a single letter, word, or number will suffice. Computational
questions are arranged so that partial credit can be given for each step answered correctly.
Always use the following model to submit your answers to the questions.
EXAMPLE:
Your name:
Module Number:
Answers
Q1 C
Q2 B
Q3 A, etc.
If the question requires computation, do the calculations and then give the correct
values as follows:
(Always hold all decimal values through your computations, and round final
answers to at least two decimal places)!
Q4 7
Q5 4
Q6 22, etc.
If the question is a fill in the blank, just put in the appropriate word(s) as follows:
Q7 statistics
Q8 dependent variable, etc.
Modules 9 and 10 Questions—Submit answers via email to mccartc1@ohio.edu according
to above instructions: (There are 40 questions to be answered for Modules 9 and 10)
The following 13 questions (Q1 to Q13) are based on the following example:
Patients recovering from an appendix operation normally spend an average of 6.3 days in
the hospital. The distribution of recovery times is normal with a σ = 2.2 days. The hospital is
trying a new recovery program designed to lessen the time patients spend in the hospital. The
first 25 appendix patients in this new program were released from the hospital in an average of
5.5 days. On the basis of these data, can the hospital conclude that the new program has a
significant reduction of recovery time. Test at the .01 level of significance.
Q1:
The appropriate statistical procedure for this example would be a
A. z-test
B. t-test
Q2:
Is this a one-tailed or a two-tailed test?
A. one-tailed
B. two-tailed
Q3:
The most appropriate null hypothesis (in words) would be
A. There is no statistical difference in the amount of time appendix patients
spend in the hospital when comparing the new recovery program to the
population of patients on the traditional recovery program.
B. There is a statistical difference in the amount of time appendix patients spend
in the hospital when comparing the new recovery program to the population of
patients on the traditional recovery program.
C. The new appendix recovery program does not significantly reduce the number
of days spent in the hospital when compared to the population of patients on
the traditional recovery program.
D. The new appendix recovery program does significantly reduce the number of
days spent in the hospital when compared to the population of patients on the
traditional recovery program.
Q4:
The most appropriate null hypothesis (in symbols) would be
A. μnew program = 6.3
B. μnew program = 5.5
C. μnew program 6.3
D. μnew program 6.3
Q5:
Set up the criteria for making a decision. That is, find the critical value using an
alpha = .01. (Make sure you are sign specific: + ; - ; or ) (Use your tables)
Summarize the data into the appropriate test statistic.
Steps:
Q6: What is the numeric value of your standard error?
Q7:
What is the z-value or t-value you obtained (your test statistic)?
Q8:
Based on your results (and comparing your Q7 and Q5 answers) would you
A. reject the null hypothesis
B. fail to reject the null hypothesis
Q9:
The best conclusion for this example would be
A. There is no statistical difference in the amount of time appendix patients
spend in the hospital when comparing the new recovery program to the
population of patients on the traditional recovery program.
B. There is a statistical difference in the amount of time appendix patients spend
in the hospital when comparing the new recovery program to the population of
patients on the traditional recovery program.
C. The new appendix recovery program does not significantly reduce the number
of days spent in the hospital when compared to the population of patients on
the traditional recovery program.
D. The new appendix recovery program does significantly reduce the number of
days spent in the hospital when compared to the population of patients on the
traditional recovery program.
Q10: Based on your evaluation of the null in Q8 and your conclusion is Q9, as a researcher you
would be more concerned with a
A. Type I statistical error
B. Type II statistical error
Calculate the 99% confidence interval.
Steps:
Q11: The mean you will use for this calculation is
A. 5.5
B. 6.3
Q12: What is the new critical value you will use for this calculation?
Q13: As you know, two values will be required to complete the following equation:
__________ __________
The following 4 questions (Q14 to Q17) are based on the following situation:
If α = .10, and β = .30, complete the following questions by inserting the appropriate
probability of each.
Q14: The statistical decision is to reject the null, and H0 is really true (ie: a Type I error)
Q15: The statistical decision is to fail to reject null, and H0 is really true (ie: a correct decision)
Q16: The statistical decision is to reject the null, and H0 is really false (ie: Power)
Q17: The statistical decision is to fail to reject the null, and H0 is really false
(ie a Type II error)
The following 14 questions (Q18 to Q31) are based on the following example:
A researcher wants to determine whether high school students who attend an SAT
preparation course score significantly different on the SAT than students who do not attend the
preparation course. For those who do not attend the course, the population mean is 1050 (μ =
1050). The 16 students who attend the preparation course average 1150 on the SAT, with a
sample standard deviation of 300. On the basis of these data, can the researcher conclude that the
preparation course has a significant difference on SAT scores? Set alpha equal to .05.
Q18: The appropriate statistical procedure for this example would be a
A. z-test
B. t-test
Q19: Is this a one-tailed or a two-tailed test?
A. one-tailed
B. two-tailed
Q20: The most appropriate null hypothesis (in words) would be
A. There is no statistical difference in SAT scores when comparing students who
took the SAT prep course with the general population of students who did not
take the SAT prep course.
B. There is a statistical difference in SAT scores when comparing students who
took the SAT prep course with the general population of students who did not
take the SAT prep course.
C. The students who took the SAT prep course did not score significantly higher
on the SAT when compared to the general population of students who did not
take the SAT prep course.
D. The students who took the SAT prep course did score significantly higher on
the SAT when compared to the general population of students who did not
take the SAT prep course.
Q21: The most appropriate null hypothesis (in symbols) would be
A. μSATprep = 1050
B. μSATprep = 1150
C. μSATprep 1050
D. μSATprep 1050
Q22: Set up the criteria for making a decision. That is, find the critical value using an
alpha = .05. (Make sure you are sign specific: + ; - ; or ) (Use your tables)
Summarize the data into the appropriate test statistic.
Steps:
Q23: What is the numeric value of your standard error?
Q24: What is the z-value or t-value you obtained (your test statistic)?
Q25: Based on your results (and comparing your Q24 and Q22 answers) would you
A. reject the null hypothesis
B. fail to reject the null hypothesis
Q26: The best conclusion for this example would be
A. There is no statistical difference in SAT scores when comparing students who
took the SAT prep course with the general population of students who did not
take the SAT prep course.
B. There is a statistical difference in SAT scores when comparing students who
took the SAT prep course with the general population of students who did not
take the SAT prep course.
C. The students who took the SAT prep course did not score significantly higher
on the SAT when compared to the general population of students who did not
take the SAT prep course.
D. The students who took the SAT prep course did score significantly higher on
the SAT when compared to the general population of students who did not
take the SAT prep course.
Q27: Based on your evaluation of the null in Q25 and your conclusion is Q26, as a researcher
you would be more concerned with a
A. Type I statistical error
B. Type II statistical error
Calculate the 99% confidence interval.
Steps:
Q28: The mean you will use for this calculation is
A. 1050
B. 1150
Q29: What is the new critical value you will use for this calculation?
Q30: As you know, two values will be required to complete the following equation:
__________ __________
Q31: Which of the following is a more accurate interpretation of the confidence interval you
just computed?
A. We are 99% confident that the scores fall in the interval _____ to _____.
B. We are 99% confident that the average score on the SAT by the students who
took the prep course falls in the interval _____ to _____.
C. We are 99% confident that the example above has correct values.
D. We are 99% confident that the difference in SAT scores between the students
who took the prep course and the students who did not falls in the interval
_____ to _____.
The following 2 questions (Q32 to Q33) are based on the following situation:
The national average for the verbal section of the Graduate Record Exam (GRE) is 500
with a standard deviation of 100. A researcher uses a sampling distribution made up of samples
of 100.
Q32: According to the Central Limit Theorem, what is the mean of the sampling distribution of
means?
A. 10
B. 50
C. 100
D. 500
Q33: According to the Central Limit Theorem, what is the standard error of the mean?
a. 10
b. 50
c. 100
d. 500
Q34: As you increase the number of subjects in your sample, the calculated
value of a t-test will
A. increase
B. decrease
C. remain the same
Q35: As you decrease the true distance between the null and alternative hypotheses
(μ1 – μ0), the likelihood of rejecting the null hypothesis
A. increases
B. decreases
C. remains the same
Q36: Keeping everything else the same, if you were to decrease your alpha level
from .05 to .01, the likelihood of rejecting the null hypothesis
A. increases
B. decreases
C. remains the same
The following 4 questions (Q37 to Q40) are either “True” or “False”
Q37: The single-most critical component of deciding whether you are to conduct a t-test versus
a z-test for hypothesis testing is whether there is a ‘’.
Q38: Predicting the characteristics of an entire group, after having measured a small group, is
the major goal of inferential statistics.
Q39: Degrees of freedom for a single sample z-test is/are ‘n-1’.
Q40: Degrees of freedom for a single sample t-test is/are ‘n-1’.
...

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