Name:
FINAL
EXAM
Use only the space provided
to answer the following questions.
Whenever possible, show your work for potential partial credit. You may use the extra sheets of paper for
additional space. NOTE: When performing numerical calculations, keep
at least 4 decimals. (i.e., do NOT round
.2265 to .227 or .23)
1. In many universities, students evaluate their
professors by means of answering a questionnaire. Assume a questionnaire is distributed to a
class of 45 students. Students are asked
to answer the following questions:
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1 |
2 |
3 |
4 |
5 |
|
Strongly Agree |
Moderately Agree |
Neutral |
Moderately Disagree |
Strongly Disagree |
a. How many elements are in the above data set? (3 points)
b. How many variables are in this data set? (3
points)
c. Which variables are qualitative and which are
quantitative? How can you tell? (5
points)
2. Distinguish between descriptive statistics
and statistical inference. Use an
example to show how the two concepts may differ. (16 points)
3. A sample of employees is taken from a large
manufacturing company. The data below
represents the number of hours of sick leave that these employees have taken in
the first quarter of the year (rounded to the nearest hour). Use this data to develop a frequency and
relative frequency distribution. Use
statistical inference to make two comments on sick leave for this firm. (15 points)
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19 |
22 |
27 |
24 |
28 |
12 |
23 |
47 |
11 |
55 |
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25 |
42 |
36 |
25 |
34 |
16 |
45 |
49 |
12 |
20 |
|
28 |
29 |
21 |
10 |
59 |
39 |
48 |
32 |
40 |
31 |
4. The price of gold at the end of each month of
the year 2000 is shown below.
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Month |
Price per Ounce |
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|
January |
a. Determine
the mean price of gold for the year.
Fully explain its meaning.
(5 points) |
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February |
230 |
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March |
225 |
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April |
236 |
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May |
270 |
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June |
382 |
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July |
322 |
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August |
324 |
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September |
320 |
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October |
310 |
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November |
368 |
||
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December |
388 |
b. Determine the median price of gold for the
year. Fully explain its meaning. (5
points)
c. Determine the mode price of gold for the
year. Fully explain its meaning. (4
points)
d. Compute the 30th and the 80th
percentiles. Fully explain their meanings. (8 points)
e. The sample standard deviation of these gold
prices is $64.64. Interpret this value.
(5 points)
5. Explain the difference between the covariance
and the correlation between two variables.
What does each of these measures tell us about the relationship between
two variables? (15 points)
6. You have just applied to two universities (A
and B) to pursue your graduate work. In
the past, students with your credentials were accepted at University A; while
University B accepts 35% of applicants with your credentials.
a. Assume that acceptance at the two
universities are independent events.
Explain the meaning of this assumption.
(8 points)
b. What is the probability that you will be
accepted in both universities? (4
points)
c. What is the probability that you will be
accepted to at least one graduate program?
(5 points)
7. Betting on the color red in a standard game
of roulette results in an 18/38 chance of winning. Suppose your high roller grandma decides to
play 5 consecutive games of roulette, each time putting her money ($10) on
red.
a. What is the probability that she will win
exactly one time? (4 points)
b. What is the probability that she will win at
least twice? (5 points)
c. If the casino pays 3 times the bet to all
winners, how much money will grandma expect to win or lose after 5 games?
What’s your recommendation to grandma?
(11 points)
8. A statistics professor notes that the grades
of his students were normally distributed with a mean of 74 and a standard
deviation of 10. The professor has
informed us that 6.3% of his students received A’s while only 2.5% of his
students failed the course and received F’s.
a. What is the minimum score needed to make an
A? (4 points)
b. What is the maximum score among those who
received an F? (4 points)
9. A department store has determined that that
25% of their sales are credit sales. A
random sample of 60 sales is selected.
a. Describe the sampling distribution of the
sample proportion. (6 points)
b. What is the probability that the sample
proportion will be between .20 to .30?
(5 points)
10. A sample of 116 college students are asked,
“In a typical week, how many hours do you study outside of class?” The sample mean is 18.319 hours with a sample
standard deviation of 8.169 hours.
a. Conduct a 99% confidence interval for the
mean number of study hours for college students. Interpret this interval. (8 points)
b. How many students would you need to survey to
cut the margin of error in half? Would
you suggest that the surveyors do this?
Explain. (10 points)
11. You are tired of hearing that the Dean of
Admissions at
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Class of 2003 |
Class of 2006 |
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Sample size = 16 |
Sample size = 43 |
|
Sample mean SAT = 1171.25 |
Sample mean SAT = 1201.7442 |
|
Sample variance SAT =
11,425 |
Sample variance SAT =
12,593 |
12. The percentage of students who enroll at a
college or university and actually graduate is an important statistic for
university administrators. Some of the
factors related to the graduation rate include the percentage of classes with
fewer than 20 students, the percentage of classes with more than 50 students,
the student-faculty ratio, the percentage of students who apply to the
university and are admitted, the percentage of first-year students in the top
10% of their high school class, and the academic reputation of the
university. Data for 48 national
universities was collected.
a. Interpret each of the estimated
coefficients. Do they make economic
sense? Explain. (10 points)
b. Discuss how well the model fits the data. (10 points)
c. Discuss statistical significance, being sure
to explain the appropriate hypothesis tests. (10 points)
|
SUMMARY OUTPUT |
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Regression Statistics |
|
|
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Multiple R |
0.874554829 |
|
|
|
|
|
|
0.764846149 |
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|
|
|
|
Adjusted |
0.730433391 |
|
|
|
|
|
Standard Error |
4.468824563 |
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|
|
|
Observations |
48 |
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ANOVA |
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|
df |
SS |
MS |
F |
Significance F |
|
Regression |
6 |
2663.130555 |
443.8550924 |
22.2256564 |
1.88742E-11 |
|
Residual |
41 |
818.786112 |
19.97039298 |
|
|
|
Total |
47 |
3481.916667 |
|
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|
Coefficients |
Standard Error |
t Stat |
P-value |
|
|
Intercept |
84.9080963 |
11.67611487 |
7.271947665 |
6.82689E-09 |
|
|
% of Classes Under 20 |
-0.169549258 |
0.096720653 |
-1.752978838 |
0.087080638 |
|
|
% of Classes of 50 or More |
-0.504289007 |
0.19611488 |
-2.571395942 |
0.013853439 |
|
|
Student/Faculty Ratio |
-0.264338381 |
0.260773307 |
-1.013671163 |
0.316684596 |
|
|
Acceptance Rate |
-0.20872764 |
0.055833427 |
-3.738399257 |
0.000566225 |
|
|
1st-Year Students in Top 10%
of HS Class |
0.129942773 |
0.058095898 |
2.236694448 |
0.030807058 |
|
|
Academic Reputation Score |
3.936719582 |
1.92178851 |
2.048466604 |
0.046953102 |
|