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Jan 9, 2024
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Final Exam A: STAT 201 Murphy
Directions:
Answer each question to the best of your ability.
Round to two decimal places, at least.
Make sure you
provide appropriate interpretations when they are asked for.
The points allowance for each part of a question is provided.
There are a total of 120 points on this exam.
Good luck.
1.
A study was done that analyzed the number of final exams that are offered as take home test for freshmen at USC
who are taking 5 course this semester.
The population mean number of take home exams was known to be 1.5
exams.
A sample of 1,000 USC freshmen was taken and it was determined that the mean number of take home
exams was 1.23 exams.
a.
Identify the population in this description. (2 points)
b.
Identify whether the mean of 1.23 exams is a parameter or statistic. (2 points)
Circle choice below.
Parameter
Statistic
c.
Identify if the variable of interest (the number of take home exams) is categorical, discrete quantitative, or
continuous quantitative.
(2 points)
Circle choice below.
Categorical
Discrete Quantitative
Continuous Quantitative
d.
Identify two types of graphs that can be used to provide a visual for this dataset.
(note that your answer should
correspond to your answer for part c).
(2 points)
2.
Students are often in a hurry to grab something to eat for lunch in the Russell house between classes.
A random
sample of 18 students was taken during the busiest time at the Russell house (12 pm to 1 pm) and the amount of time
each student waited to get food and pay was recorded.
The following are the 18 different observations:
2
3
3.5
4
4
4.5
5
5
5.5
6
6
6
6.5
7
7.5
8
8.5
9
Note:
∑ ࠵? = 101
and
∑(࠵? − ࠵?̅)
!
= 63.78
a.
Calculate the sample mean wait time.
(2 points)
b.
Calculate the sample standard deviation of the wait times. (2 points)
c.
Calculate the five number summary for wait times. (6 points)
3.
The following results provide information about the difference between the number of days of class missed between
an introductory level statistics class that used attendance as part of the final grade and an introductory level statistics
class that does not use attendance as part of the final grade.
Dataset
Sample
size (n)
Mean
Standard
Deviation
Range
Interquartile
Range
Minimum
First
Quartile
Second
Quartile
(Median)
Third
Quartile
Maximum
Attendance is
Part of the Final
Grade
22
0.91
1.02
3
****
0
0
1
2
3
Attendance is Not
Part of the Final
Grade
25
****
2.49
9
3
0
1
****
4
9
a.
State two measurements that are resistant.
(2 points)
b.
Which dataset appears to have more variability in the number of days missed? (2 points)
Circle One below.
Dataset where attendance is part of the final grade.
Dataset where attendance is not part of final grade.
c.
Based on the statistics and/or boxplot is there reason to believe that the attendance policy has an effect on the
number of classes missed.
Justify your answer by referencing a statistic and/or the boxplot.
(2 points)
d.
What is the shape of the dataset based on the boxplot for the dataset Attendance Not Part of Grade (the bottom
boxplot)?
(2 points)
Normal (bell-shaped)
Right-skewed
Left-skewed
e.
Based on your answer to part d, which of the following is the correct relationship between the mean and the
median?
Your answer must agree with what you put as the answer to part d.
(2 points)
Mean
≈
Median
Mean < Median
Mean > Median
f.
Calculate the Interquartile range for the dataset “Attendance is Part of Grade”. (2 points)
g.
What is the balance point of the dataset where attendance is part of the grade? (2 points)
h.
What is the average distance an observation falls from the mean of the dataset where attendance is part of the
grade?
(2 points)
i.
What is the value at which 75% of the data falls below for the dataset where attendance is part of the grade?
(2
points)
4.
The following contingency table shows cross-tabulations for the country in which a car was manufactured and
whether or not the car needed a repair.
Use the table to answer the questions that follow.
Needed Warranty
Repair
Country in Which Company Manufactured Car
US
Non-US
Total
Yes
40
100
140
No
1160
700
1860
Total
1200
800
2000
a.
What type of variable is whether the car needed a warranty repair?
(2 points)
Categorical
Discrete Quantitative
Continuous Quantitative
b.
What is the probability that a randomly selected car was manufactured in the Non-US? (2 points)
c.
What is the probability that a randomly selected car did need a warranty repair? (2 points)
d.
What is the probability that a randomly selected car was manufactured in the Non-US and did need a warranty
repair?
(2 points)
e.
What is the probability that a randomly selected car was manufactured in the Non-US or did need a warranty
repair? (3 points)
f.
What is the probability that a randomly selected car was manufactured in the Non-US given it did need a
warranty repair? (3 points)
g.
Are the events being manufactured in the Non-US and needing a warranty repair independent?
Justify your
answer using probabilities.
(3 points)
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5.
Assume that the population mean ATM withdrawal is known to be $60 with a population standard deviation of $35.
Also assume that it is known that the data follows a normal distribution.
a.
Find and interpret the z-score of an ATM withdrawal of $20.
(4 points).
b.
What is the probability of an ATM withdrawal of more than $100?
(3 points)
6.
A survey of nonprofit organizations showed that online fundraising has increased in the past year.
Based on a
random sample of 25 nonprofits, the sample mean one-time gift donation in the past year was $75, with a sample
standard deviation of $9.
Construct and interpret a 95% confidence interval estimate for the population mean one-
time gift donation.
You must provide answers for each step below to get full credit.
a.
State the point estimate used in the calculation of the confidence interval. (1 point)
b.
Calculate the standard error used in the calculation of the confidence interval. (2 points)
c.
State the critical value used in the calculation of the confidence interval. (2 points)
d.
State the margin of error used in the calculation of the confidence interval. (1 point)
e.
Provide the 95% confidence interval. (1 point)
f.
State two ways you can make the interval wider. (Circle one choice for both of the following)
(2 points)
i.
How would you change the sample size?
Increase n
Decrease n
ii.
How would you change the level of confidence?
Increase Confidence Level
Decrease Confidence Level
g.
What would your decision be for a hypothesis test using a level of significance of 0.05 if we wanted to know if
there was evidence that the population mean was greater than $70?
Hint: use your confidence interval to
answer the question.
(circle one choice) (1 point)
Reject
࠵?
"
Do Not Reject
࠵?
"
7.
The US Department of Education reports that 40% of full-time college students are employed while attending
college.
A recent survey of 60 full-time students at a university found that 30 were employed.
Is there evidence,
using a 0.05 level of significance, to determine whether the proportion of full-time students at the university that are
employed is different from the national norm of 0.40?
a.
What is the probability of getting a Type I error?
(2 points)
b.
State the hypothesis.
(2 points)
c.
Calculate the appropriate test statistic.
(2 points)
d.
Calculate the p-value.
(3 points)
e.
State your decision. (2 points)
f.
Interpret the results in the context of the problem.
(2 points)
8.
Since sodas tend to replace healthier drinks, researchers want to know whether consumption of sodas is associated
with lower bone mineral density in women.
The following scatterplot and regression output is based off of data of 15
randomly selected women.
Use the regression output and scatterplot to answer the following questions:
a.
Fill in the following blanks based on the correlation coefficient provided (hint state what the variables x and y
are).
(2 points)
As
increases, the
tends
to
.
decrease / increase
b.
Give and interpret the slope of the prediction equation.
Round the slope value to at least three decimal places.
(2 points)
c.
Use the prediction equation to predict the bone mineral density of a women that consumed 3 sodas per week. (2
points)
d.
Assume that the true bone mineral density of a women that consumed 3 sodas per week was 0.875.
Calculate
the residual. [Note: residual =
࠵? − ࠵?
3
] (2 points)
e.
Can you use the prediction equation to predict the bone mineral density of a women that drank 12 cans of soda
per week?
Explain your answer. (2 points).
f.
Based on the above information for this problem (and no other information) can we say that the relationship
between the number of sodas consumed directly causes bone mineral density to be lower?
In other words –
does correlation imply causation?(1 points)
Yes
No
Dependent Variable: Bone Mineral Density (g/cm^2)
Independent Variable: # Sodas Per Week
Bone Mineral Density (g/cm^2) = 0.89 - 0.003(# Sodas Per Week)
Sample size: 15
R (correlation coefficient) = -0.81
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9.
Some researchers claim that music can be relaxing and reduce stress.
Assume that stress is measured by pulse rate (a
higher pulse rate indicates stress while a lower pulse rate indicates a more relaxed state).
Twelve patients that suffer
from job related stress were randomly sampled and the following measurements were taken:
initial pulse rate and
pulse rate after participating in a month long music-listening, relaxation-therapy program.
Assume that the
underlying distributions of initial and final pulse rates are normally distributed and use a level of significance of 0.05.
The researchers are trying to determine if there is evidence that there is a difference in the pulse rate between the
mean initial pulse rate and the mean pulse rate after the music-listening, relaxation-therapy program?
Use this
information and the following StatCrunch output to answer the questions that follow.
Hypothesis test results:
Difference
Mean
Std. Err.
DF
T-Stat
P-value
Initial Pulse Rate - Final Pulse Rate
6.3333333
2.520622
11
2.5126073
0.0289
95% confidence interval results:
Difference
Mean
Std. Err.
DF
L. Limit
U. Limit
Initial Pulse Rate - Final Pulse Rate
6.3333333
2.520622
11
0.7854817
11.881185
a.
Are the samples independent or dependent?
(Circle one). (2 points)
Independent
Dependent
b.
Which is the statistic used in the confidence interval and test statistic calculations? (Circle one). (2 points)
࠵?
̅
࠵?̅
#
− ࠵?̅
!
࠵?
#
− ࠵?
!
c.
Which of the following tests should be performed?
(Circle one). (2 points)
Two-sample t-test.
Paired t-test.
d.
State the hypothesis used to test this claim.
(2 points)
e.
State the decision of the hypothesis test.
(2 points)
f.
Based on the Confidence Interval which pulse rate was higher. (Circle One). (2 points)
Initial Pulse Rate
Final Pulse Rate
Neither was always higher.
g.
Based on the confidence interval is it possible that there is a difference in the mean pulse rate before and
after the therapy.
Justify your answer.
(2 points)
10.
According to a recent Current Population Reports, the population distribution of number of years of education for
self-employed individuals in the United States has a mean of 13.6 and a standard deviation of 3.0.
a.
Find the mean of the sampling distribution of the sample means, if the sample size is 36. (2 points)
b.
Find the standard deviation of the sampling distribution of the sample means, if the sample size is 36.
(2
points)
c.
State the effect of increasing the sample size on both the mean and standard error of the sampling distribution:
i.
The mean will
if the sample size is increased. (2 points)
decrease
increase
stay the same
ii.
The standard error will
if the sample size is increased. (2 points)
decrease
increase
stay the same
d.
Would a sample mean of 15 be considered unusual for a sample of size 36?
Justify your answer.
(2 points)
After you complete your exam, please sign the statement below, taken from the Office of Academic Integrity:
I understand that it is the responsibility of every member of the Carolina community to uphold and maintain the University of South
Carolina’s Honor Code.
As a Carolinian, I certify that I have neither given nor received unauthorized aid on this exam.
Sign ______________________________________________
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