Complete the final exam offline during the final exam week. Once you have complete the

exam, input your exam into the final exam shell in the exam folder on the course webpage. Good luck

1.

2.

3.

4.
5.
6.
7.
8.

US Census statistics show that college graduates make more than $254,000 more in
their lifetime than non-college graduates. If you were to question the validity of
this observation, what would be your basis for doing so?
A. Definition of a college graduate
B. Work lifestyles of the population
C. Defining lifetime
D. How the Census was taken
The average age in a sample of 190 students at City College is 22. As a result of
this sample, it can be concluded that the average age of all the students at City
College
A. must be more than 22, since the population is always larger than the sample
B. must be less than 22, since the sample is only a part of the population
C. could not be 22
D. could be larger, smaller, or equal to 22
Since a sample is a subset of the population, the sample mean
A. is always smaller than the mean of the population
B. is always larger than the mean of the population
C. must be equal to the mean of the population
D. can be larger, smaller, or equal to the mean of the population
Use the following situation for Questions 4-7. Michael, Inc., a manufacturer of
electric defibrillators, is a firm that makes 50 types of electric defibrillators . The
table below shows the price distribution of the defibrillators .
Price (In $)
Number of Defibrillators
100 130
8
140 – 170
12
180 – 210
20
220 – 250
10
Select from the following choices for Questions 4-7. Use letter only in the blank.
A. 32
B. 50% C. 20 D. 30 E. 16% F. 10 G. 60% H. 50
How many defibrillators have a price of at least $180?_______
What percentage of the defibrillators has a price of at least $180? ______
What percentage of the defibrillators has a price of less than $140? _____
How many defibrillators cost at least $140 but no more than $210? ______
Temperature is an example of
A. a qualitative variable
B. a quantitative variable
C. either a quantitative or qualitative variable
D. neither a quantitative nor qualitative variable

Use the following situation for Questions 9 and 10.
The following frequency distribution shows the frequency of outbreaks of the
11 virus (statistics flu) for the following households in a small rural community.

9.

10.

11.

12.
13.

14.

Households 1134 406 168 41 25 12
Outbreaks
0
1
2
345
Use the frequency distribution to construct a probability distribution by filling in
the blanks below.
0
1
2
3
4
5
x
P(x) P(0) = __ P(1) = __ P(2) = __ P(3) = ___ P(4) = ___ P(5) = ___
Compute the mean and the standard deviation and select from the following the
appropriate interpretation of the results (select best response)
A. A household on the average has 0.9 outbreaks with a standard deviation of
.6 outbreaks
B. A household on the average has 0.6 outbreaks with a standard deviation of
12 outbreaks
C. A household on the average has 0.9 outbreaks with a standard deviation of
.9 outbreaks
D. A household on the average has 0.6 outbreaks with a standard deviation of
.9 outbreaks
Use the following situation for Questions 11 – 13.
Twenty students were randomly selected for cholesterol screening. The following
data were collected.
260 164 210 225 244 254 233 184 269 206
158 209 221 213 198 179 214 257 246 221
Using the information above compute the following: (Round to nearest hundredth)
A. Mean = _____
B. Median = _____
C. Mode = _____
D. Sample Standard Deviation = _____
E. The Sample Variance = ______
F. The Coefficient of Variation = ______ (as a percent, for example 27.43%)
Is the data skewed _______ (select correct letter from list below)
A. No B. Skewed left C. Skewed right
D. Unable to determine
Which is the best measure of central tendency for the randomly selected cholesterol
screenings? _______ (select correct letter from list below)
A. Mean B. Median C. Mode D. It does not matter, one is as good as the other
Let event A = a patient does not survive a new treatment procedure for prostrate
cancer and event B = the patient is permanently rendered sexually dysfunctional by
the new treatment. Furthermore, events A and B are mutually exclusive. Which of
the following statements is also true?
A. A and B are also independent.
B. P(A or B) = P(A)P(B)
C. P(A or B) = P(A) + P(B)
D. P(A and B) = P(A) + P(B)

15.

Twenty-five percent of the employees of a large hospital are minorities. A random
sample of 7 employees is selected.
A.
B.
C.
D.
E.

16.

What is the probability that the sample contains exactly 4 minorities? ____
What is the probability that the sample contains fewer than 2 minorities? ____
What is the probability that the sample contains exactly 1 non-minority? ____
What is the expected number of minorities in the sample? ______
What is the variance of the minorities? _______

Select from the answers below. Place the correct letter in the blanks above.
A. 0.5551
B. 1.1456
C. 0.4449
D. 0.0013 E. 1.7226
F. 1.3125
G. 0.0577
H. .0001
I. 1.75
J. 0.0286
The life expectancy of a lung cancer patient treated with a new drug is normally
distributed with a mean of 4 years and a standard deviation of 10 months.
A. What is the probability that a randomly selected lung cancer patient will last more
than 5 years? _____
B. What percentage of lung cancer patients will last between 5 and 6 years? ____
C. What percentage of lung cancer patients will last less than 4 years? _____
D. What percentage of lung cancer patients will last between 2.5 and 4.5 years? _
E. If the drug manufacturer guarantees the drug will be effective for a minimum of 3
years (and will pay for the entire treatment program if the patient does not survive),
what percentage of lung cancer patients will have to pay for the treatment? _____

17.

Select from the answers below. Place the correct letter in the blanks above.
A. 10.69%
B. 11.51% C. .0796
D. 46.01%
E. 88.49%
F. 68.9%
G. 53.98% H. 0%
I. 50%
J. 0.06172
The life expectancy in the United States is 75 with a standard deviation of 7 years.
A random sample of 49 individuals is selected.
A.
B.
C.
D.
E.
F.

18.

What is the standard error of the mean? _____
What is the probability that the sample mean will be larger than 77 years? ___
What is the probability that the sample mean will be less than 72.7 years? ___
What is the probability that the sample mean will be between 73.5 and 76 years? _____
What is the probability that the sample mean will be between 72 and 74 years? _____
What is the probability that the sample mean will be larger than 73.46 years? _____

Select from the answers below. Place the correct letter in the blanks above.
A. 0.0107
B. 0.7745
C. 1.0
D. 0.8427
E. 0.9772
F. 0.0228
G. 1/7
H. 0.9389
I. 22.55%
J. 0.1573
The standard hemoglobin reading for healthy adult men is 15 g/110 ml with a
standard deviation of = 2 g. For a group of men, we find a mean hemoglobin of
16.0 g.
A. Obtain a 95% confidence interval for if the group size was 25_____
B. Obtain a 95% confidence interval for if the group size was 36_____
C. Obtain a 95% confidence interval for if the group size was 49_____
Select from the answers below. Place the correct letter in the blanks above.
A. 15.440 – 16.560
B. 15.347 – 16.653
C. 14.440 – 15.560
D. 14.316 – 15.684
E. 15.316 16.684
F. 14.347 – 15.653

19.

20.

Doubling the size of the sample will
A. reduce the standard error of the mean to one-half its current value
B. reduce the standard error of the mean to approximately 70% of its current
value
C. have no effect on the standard error of the mean
D. double the standard error of the mean
The fact that the sampling distribution of sample means can be approximated by a
normal probability distribution whenever the sample size is large is based on the
A. central limit theorem
B. fact that we have tables of areas for the normal distribution
C. assumption that the population has a normal distribution
D. None of these alternatives is correct.
Use the following situation for Questions 21 – 23. In order to estimate the
average time spent on the dialysis machines per kidney patient at a local university
hospital, data were collected for a sample of 81 patients over a one week period.
Assume the population standard deviation is 1.2 hours.

21.

The standard error of the mean is

22.

A. 7.5 B. 0.014 C. 0.160 D. 0.133
With a 0.95 probability, the margin of error is approximately

23.

A. 0.26 B. 1.96 C. 0.21 D. 1.64
If the sample mean is 9 hours, then the 95% confidence interval is

24.

25.
26.

A. 7.04 to 110.96 hours B. 7.36 to 10.64 hours
C. 7.80 to 10.20 hours
D. 8.74 to 9.26 hours
The t distribution is applicable whenever:
A. the sample is considered large (n 30).
B. the population is normal and the sample standard deviation is used to
estimate the population standard deviation
C. n 100
D. n 1000
Use the following situation for Questions 25 26. A random sample of 16
statistics examinations from a large population was taken. The average score in
the sample was 78.6 with a variance of 64. We are interested in determining
whether the average grade of the population is significantly more than 75. Assume
the distribution of the population of grades is normal.
The test statistic is: A. 0.45 B. 1.80 C. 3.6 D. 8
At 95% confidence, it can be concluded that the average grade of the population
A. is not significantly greater than 75
B. is significantly greater than 75
C. is not significantly greater than 78.6
D. is significantly greater than 78.6

27.

Independent samples are obtained from two normal populations with equal
variances in order to construct a confidence interval estimate for the difference
between the population means. If the first sample contains 16 items and the second
sample contains 36 items, the correct form to use for the sampling distribution is
the
A. normal distribution
B. t distribution with 15 degrees of freedom
C. t distribution with 35 degrees of freedom
D. t distribution with 50 degrees of freedom
Use the following situation for Questions 28 33. A statistics teacher wants to
see if there is any difference in the abilities of students enrolled in statistics today
and those enrolled five years ago. A sample of final examination scores from
students enrolled today and from students enrolled five years ago was taken. You
are given the following results.
Mean
Variance
Sample Size

28.
29.

30.

31.
32.
33.

Today
82
112.5
45

Five Years Ago
88
54
36

The difference between the means of the two populations is (d ) =
A. 58.5 B. 9
C. -9 D. -6
The standard deviation of the difference between the means of the two populations
is
A. 12.9 B. 9.3 C. 4 D. 2
The 95% confidence interval for the difference between the two population means
is
A. -9.92 to -2.08
B. -3.92 to 3.92
C. -13.84 to 1.84
D. -24.228 to 12.23
The test statistic for the difference between the two population means is
A. -.47 B. -.65 C. -1.5 D. -3
The p-value for the difference between the two population means is
A. .0014 B. .0028 C. .4986 D. .9972
What is the conclusion that can be reached about the difference in the average final
examination scores between the two classes? (Use a .05 level of significance.)
A. There is a statistically significant difference in the average final
examination scores between the two classes.
B. There is no statistically significant difference in the average final
examination scores between the two classes.
C. It is impossible to make a decision on the basis of the information given.
D. There is a difference, but it is not significant.

Use the following situation for Questions 34 38. The director of a regional
hospital is interested in determining whether or not the proportion of incoming
female patients who needs a pap-smear has increased. A sample of female patients
taken several years ago is compared with a sample of female patients this year.
Results are summarized below.
Sample Size
No. Requiring Pap-Smear

34.
35.
36.

37.
38.

39.

40.

Previous Sample
250
50
Present Sample
300
69
The difference between the two proportions is:
A. 50 B. 19 C. 0.50 D. – 0.03
The pooled proportion has a value of
A. 0.216 B. – 0.216 C. 1.645 D. 0.5
The interest of the director represents a
A. one tailed test
B. two tailed test
C. one tailed or a two tailed test, depending on the confidence coefficient
D. one tailed or a two tailed test, depending on the level of significance
The test statistics for this test is
A. 1.645 B. 1.96 C. 0.035 D. – 0.851
If the test is to be done with an =.05 the
A. null hypothesis should be rejected
B. null hypothesis should not be rejected
C. alternative hypothesis should be accepted
D. None of these alternatives is correct.
Regression analysis was applied between demand for a product (Y) and the price
of the product (X), and the following estimated regression equation was obtained.
Y = 120 – 10 X
Based on the above estimated regression equation, if price is increased by 2 units,
then demand is expected to
A. increase by 120 units B. increase by 100 units
C. increase by 20 units
D. decease by 20 units
If there is a very strong correlation between two variables, then the coefficient of
correlation must be
A. much larger than 1, if the correlation is positive
B. much smaller than 1, if the correlation is negative
C. much larger than one
D. None of these alternatives is correct.

41.

42.
43.
44.
45.
46.

47.

Regression analysis was applied between sales (in $1000) and advertising (in $100)
and the following regression function was obtained. Y = 500 + 4 X
Based on the above estimated regression line if advertising is $10,000, then the
point estimate for sales (in dollars) is
A. $900 B. $900,000 C. $40,500 D. $505,000
Use the following situation for Questions 42 46. You are given the following
information about y and x.
y
x
Dependent Variable
Independent Variable
5
15
7
12
9
10
11
7
The least squares estimate of b1 equals
A. -0.7647 B. -0.13 C. 21.4 D. 16.412
The least squares estimate of b0 equals
A. -0.7647 B. -1.3 C. 164.1176 D. 16.41176
The sample correlation coefficient equals
A. -86.667 B. -0.99705
C. 0.9941
D. 0.99705
The coefficient of determination equals
A. -0.99705 B. -0.9941 C. 0.9941 D. 0.99705
A researcher selected a sample of 50 residents from each of three different cities to
determine if they were willing to participate in a medical experiment. At = .05,
test the claim that the proportions who will participate are equal.
Residents
City 1 City 2 City 3
Willing to participate
20
12
22
Not willing to participate
30
38
28
Total
50
50
50
A. There is not evidence to reject the claim that the proportions are equal
because the test value 4.861 < 5.991
B. There is evidence to reject the claim that the proportions are equal because
the test value > 1.042
C. There is not evidence to reject the claim that the proportions are equal
because the test value 5.991< 12.592
D. There is evidence to reject the claim that the proportions are equal because
the test value 5.991 > 1.042
A researcher is comparing samples from 6 different populations. Assume that the
conclusion from an ANOVA is that the null hypothesis is rejected, in other words
that the 6 population means are not all equal. How many of the population means
would be significantly different from the others?
A. Three (half)
B. At least 1
C. All would be different D. More than 2

Use the following situation for Questions 48 50. A research firm reported that
15% of those surveyed described their health as poor, 26% as good, 40% as very
good, and 19% as excellent. A health professional in Chicago wanted to determine
if people in Chicago had similar feelings toward their health. In a sample of 600
people in Chicago, 70 described their health as poor, 180 as good, 210 as very
good, and 140 as excellent. Complete the chart below by filling in the observed and
expected values.
48.

49.
50.

Observed Expected
Poor
Good
Very Good
Excellent
Calculate the test statistic ________ (to two decimal places, i.e 2.34)
Given an = .05, what is the result of the chi-squared test?
A. There is not evidence to reject the claim that the proportions are equal
because the test value is less than the critical 2 value.
B. There is evidence to reject the claim that the proportions are equal because
the test value is greater than the critical 2 value.
C. There is not evidence to reject the claim that the proportions are equal
because the test value is greater than the critical 2 value.
D. There is evidence to reject the claim that the proportions are equal because
the test value is less than the critical 2 value.

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Complete the final exam offline during the final exam week. Once you have complete the

exam, input your exam into the final exam shell in the exam folder on the course webpage. Good luck

1.

2.

3.

4.
5.
6.
7.
8.

US Census statistics show that college graduates make more than $254,000 more in
their lifetime than non-college graduates. If you were to question the validity of
this observation, what would be your basis for doing so?
A. Definition of a college graduate
B. Work lifestyles of the population
C. Defining lifetime
D. How the Census was taken
The average age in a sample of 190 students at City College is 22. As a result of
this sample, it can be concluded that the average age of all the students at City
College
A. must be more than 22, since the population is always larger than the sample
B. must be less than 22, since the sample is only a part of the population
C. could not be 22
D. could be larger, smaller, or equal to 22
Since a sample is a subset of the population, the sample mean
A. is always smaller than the mean of the population
B. is always larger than the mean of the population
C. must be equal to the mean of the population
D. can be larger, smaller, or equal to the mean of the population
Use the following situation for Questions 4-7. Michael, Inc., a manufacturer of
electric defibrillators, is a firm that makes 50 types of electric defibrillators . The
table below shows the price distribution of the defibrillators .
Price (In $)
Number of Defibrillators
100 130
8
140 – 170
12
180 – 210
20
220 – 250
10
Select from the following choices for Questions 4-7. Use letter only in the blank.
A. 32
B. 50% C. 20 D. 30 E. 16% F. 10 G. 60% H. 50
How many defibrillators have a price of at least $180?_______
What percentage of the defibrillators has a price of at least $180? ______
What percentage of the defibrillators has a price of less than $140? _____
How many defibrillators cost at least $140 but no more than $210? ______
Temperature is an example of
A. a qualitative variable
B. a quantitative variable
C. either a quantitative or qualitative variable
D. neither a quantitative nor qualitative variable

Use the following situation for Questions 9 and 10.
The following frequency distribution shows the frequency of outbreaks of the
11 virus (statistics flu) for the following households in a small rural community.

9.

10.

11.

12.
13.

14.

Households 1134 406 168 41 25 12
Outbreaks
0
1
2
345
Use the frequency distribution to construct a probability distribution by filling in
the blanks below.
0
1
2
3
4
5
x
P(x) P(0) = __ P(1) = __ P(2) = __ P(3) = ___ P(4) = ___ P(5) = ___
Compute the mean and the standard deviation and select from the following the
appropriate interpretation of the results (select best response)
A. A household on the average has 0.9 outbreaks with a standard deviation of
.6 outbreaks
B. A household on the average has 0.6 outbreaks with a standard deviation of
12 outbreaks
C. A household on the average has 0.9 outbreaks with a standard deviation of
.9 outbreaks
D. A household on the average has 0.6 outbreaks with a standard deviation of
.9 outbreaks
Use the following situation for Questions 11 – 13.
Twenty students were randomly selected for cholesterol screening. The following
data were collected.
260 164 210 225 244 254 233 184 269 206
158 209 221 213 198 179 214 257 246 221
Using the information above compute the following: (Round to nearest hundredth)
A. Mean = _____
B. Median = _____
C. Mode = _____
D. Sample Standard Deviation = _____
E. The Sample Variance = ______
F. The Coefficient of Variation = ______ (as a percent, for example 27.43%)
Is the data skewed _______ (select correct letter from list below)
A. No B. Skewed left C. Skewed right
D. Unable to determine
Which is the best measure of central tendency for the randomly selected cholesterol
screenings? _______ (select correct letter from list below)
A. Mean B. Median C. Mode D. It does not matter, one is as good as the other
Let event A = a patient does not survive a new treatment procedure for prostrate
cancer and event B = the patient is permanently rendered sexually dysfunctional by
the new treatment. Furthermore, events A and B are mutually exclusive. Which of
the following statements is also true?
A. A and B are also independent.
B. P(A or B) = P(A)P(B)
C. P(A or B) = P(A) + P(B)
D. P(A and B) = P(A) + P(B)

15.

Twenty-five percent of the employees of a large hospital are minorities. A random
sample of 7 employees is selected.
A.
B.
C.
D.
E.

16.

What is the probability that the sample contains exactly 4 minorities? ____
What is the probability that the sample contains fewer than 2 minorities? ____
What is the probability that the sample contains exactly 1 non-minority? ____
What is the expected number of minorities in the sample? ______
What is the variance of the minorities? _______

Select from the answers below. Place the correct letter in the blanks above.
A. 0.5551
B. 1.1456
C. 0.4449
D. 0.0013 E. 1.7226
F. 1.3125
G. 0.0577
H. .0001
I. 1.75
J. 0.0286
The life expectancy of a lung cancer patient treated with a new drug is normally
distributed with a mean of 4 years and a standard deviation of 10 months.
A. What is the probability that a randomly selected lung cancer patient will last more
than 5 years? _____
B. What percentage of lung cancer patients will last between 5 and 6 years? ____
C. What percentage of lung cancer patients will last less than 4 years? _____
D. What percentage of lung cancer patients will last between 2.5 and 4.5 years? _
E. If the drug manufacturer guarantees the drug will be effective for a minimum of 3
years (and will pay for the entire treatment program if the patient does not survive),
what percentage of lung cancer patients will have to pay for the treatment? _____

17.

Select from the answers below. Place the correct letter in the blanks above.
A. 10.69%
B. 11.51% C. .0796
D. 46.01%
E. 88.49%
F. 68.9%
G. 53.98% H. 0%
I. 50%
J. 0.06172
The life expectancy in the United States is 75 with a standard deviation of 7 years.
A random sample of 49 individuals is selected.
A.
B.
C.
D.
E.
F.

18.

What is the standard error of the mean? _____
What is the probability that the sample mean will be larger than 77 years? ___
What is the probability that the sample mean will be less than 72.7 years? ___
What is the probability that the sample mean will be between 73.5 and 76 years? _____
What is the probability that the sample mean will be between 72 and 74 years? _____
What is the probability that the sample mean will be larger than 73.46 years? _____

Select from the answers below. Place the correct letter in the blanks above.
A. 0.0107
B. 0.7745
C. 1.0
D. 0.8427
E. 0.9772
F. 0.0228
G. 1/7
H. 0.9389
I. 22.55%
J. 0.1573
The standard hemoglobin reading for healthy adult men is 15 g/110 ml with a
standard deviation of = 2 g. For a group of men, we find a mean hemoglobin of
16.0 g.
A. Obtain a 95% confidence interval for if the group size was 25_____
B. Obtain a 95% confidence interval for if the group size was 36_____
C. Obtain a 95% confidence interval for if the group size was 49_____
Select from the answers below. Place the correct letter in the blanks above.
A. 15.440 – 16.560
B. 15.347 – 16.653
C. 14.440 – 15.560
D. 14.316 – 15.684
E. 15.316 16.684
F. 14.347 – 15.653

19.

20.

Doubling the size of the sample will
A. reduce the standard error of the mean to one-half its current value
B. reduce the standard error of the mean to approximately 70% of its current
value
C. have no effect on the standard error of the mean
D. double the standard error of the mean
The fact that the sampling distribution of sample means can be approximated by a
normal probability distribution whenever the sample size is large is based on the
A. central limit theorem
B. fact that we have tables of areas for the normal distribution
C. assumption that the population has a normal distribution
D. None of these alternatives is correct.
Use the following situation for Questions 21 – 23. In order to estimate the
average time spent on the dialysis machines per kidney patient at a local university
hospital, data were collected for a sample of 81 patients over a one week period.
Assume the population standard deviation is 1.2 hours.

21.

The standard error of the mean is

22.

A. 7.5 B. 0.014 C. 0.160 D. 0.133
With a 0.95 probability, the margin of error is approximately

23.

A. 0.26 B. 1.96 C. 0.21 D. 1.64
If the sample mean is 9 hours, then the 95% confidence interval is

24.

25.
26.

A. 7.04 to 110.96 hours B. 7.36 to 10.64 hours
C. 7.80 to 10.20 hours
D. 8.74 to 9.26 hours
The t distribution is applicable whenever:
A. the sample is considered large (n 30).
B. the population is normal and the sample standard deviation is used to
estimate the population standard deviation
C. n 100
D. n 1000
Use the following situation for Questions 25 26. A random sample of 16
statistics examinations from a large population was taken. The average score in
the sample was 78.6 with a variance of 64. We are interested in determining
whether the average grade of the population is significantly more than 75. Assume
the distribution of the population of grades is normal.
The test statistic is: A. 0.45 B. 1.80 C. 3.6 D. 8
At 95% confidence, it can be concluded that the average grade of the population
A. is not significantly greater than 75
B. is significantly greater than 75
C. is not significantly greater than 78.6
D. is significantly greater than 78.6

27.

Independent samples are obtained from two normal populations with equal
variances in order to construct a confidence interval estimate for the difference
between the population means. If the first sample contains 16 items and the second
sample contains 36 items, the correct form to use for the sampling distribution is
the
A. normal distribution
B. t distribution with 15 degrees of freedom
C. t distribution with 35 degrees of freedom
D. t distribution with 50 degrees of freedom
Use the following situation for Questions 28 33. A statistics teacher wants to
see if there is any difference in the abilities of students enrolled in statistics today
and those enrolled five years ago. A sample of final examination scores from
students enrolled today and from students enrolled five years ago was taken. You
are given the following results.
Mean
Variance
Sample Size

28.
29.

30.

31.
32.
33.

Today
82
112.5
45

Five Years Ago
88
54
36

The difference between the means of the two populations is (d ) =
A. 58.5 B. 9
C. -9 D. -6
The standard deviation of the difference between the means of the two populations
is
A. 12.9 B. 9.3 C. 4 D. 2
The 95% confidence interval for the difference between the two population means
is
A. -9.92 to -2.08
B. -3.92 to 3.92
C. -13.84 to 1.84
D. -24.228 to 12.23
The test statistic for the difference between the two population means is
A. -.47 B. -.65 C. -1.5 D. -3
The p-value for the difference between the two population means is
A. .0014 B. .0028 C. .4986 D. .9972
What is the conclusion that can be reached about the difference in the average final
examination scores between the two classes? (Use a .05 level of significance.)
A. There is a statistically significant difference in the average final
examination scores between the two classes.
B. There is no statistically significant difference in the average final
examination scores between the two classes.
C. It is impossible to make a decision on the basis of the information given.
D. There is a difference, but it is not significant.

Use the following situation for Questions 34 38. The director of a regional
hospital is interested in determining whether or not the proportion of incoming
female patients who needs a pap-smear has increased. A sample of female patients
taken several years ago is compared with a sample of female patients this year.
Results are summarized below.
Sample Size
No. Requiring Pap-Smear

34.
35.
36.

37.
38.

39.

40.

Previous Sample
250
50
Present Sample
300
69
The difference between the two proportions is:
A. 50 B. 19 C. 0.50 D. – 0.03
The pooled proportion has a value of
A. 0.216 B. – 0.216 C. 1.645 D. 0.5
The interest of the director represents a
A. one tailed test
B. two tailed test
C. one tailed or a two tailed test, depending on the confidence coefficient
D. one tailed or a two tailed test, depending on the level of significance
The test statistics for this test is
A. 1.645 B. 1.96 C. 0.035 D. – 0.851
If the test is to be done with an =.05 the
A. null hypothesis should be rejected
B. null hypothesis should not be rejected
C. alternative hypothesis should be accepted
D. None of these alternatives is correct.
Regression analysis was applied between demand for a product (Y) and the price
of the product (X), and the following estimated regression equation was obtained.
Y = 120 – 10 X
Based on the above estimated regression equation, if price is increased by 2 units,
then demand is expected to
A. increase by 120 units B. increase by 100 units
C. increase by 20 units
D. decease by 20 units
If there is a very strong correlation between two variables, then the coefficient of
correlation must be
A. much larger than 1, if the correlation is positive
B. much smaller than 1, if the correlation is negative
C. much larger than one
D. None of these alternatives is correct.

41.

42.
43.
44.
45.
46.

47.

Regression analysis was applied between sales (in $1000) and advertising (in $100)
and the following regression function was obtained. Y = 500 + 4 X
Based on the above estimated regression line if advertising is $10,000, then the
point estimate for sales (in dollars) is
A. $900 B. $900,000 C. $40,500 D. $505,000
Use the following situation for Questions 42 46. You are given the following
information about y and x.
y
x
Dependent Variable
Independent Variable
5
15
7
12
9
10
11
7
The least squares estimate of b1 equals
A. -0.7647 B. -0.13 C. 21.4 D. 16.412
The least squares estimate of b0 equals
A. -0.7647 B. -1.3 C. 164.1176 D. 16.41176
The sample correlation coefficient equals
A. -86.667 B. -0.99705
C. 0.9941
D. 0.99705
The coefficient of determination equals
A. -0.99705 B. -0.9941 C. 0.9941 D. 0.99705
A researcher selected a sample of 50 residents from each of three different cities to
determine if they were willing to participate in a medical experiment. At = .05,
test the claim that the proportions who will participate are equal.
Residents
City 1 City 2 City 3
Willing to participate
20
12
22
Not willing to participate
30
38
28
Total
50
50
50
A. There is not evidence to reject the claim that the proportions are equal
because the test value 4.861 < 5.991
B. There is evidence to reject the claim that the proportions are equal because
the test value > 1.042
C. There is not evidence to reject the claim that the proportions are equal
because the test value 5.991< 12.592
D. There is evidence to reject the claim that the proportions are equal because
the test value 5.991 > 1.042
A researcher is comparing samples from 6 different populations. Assume that the
conclusion from an ANOVA is that the null hypothesis is rejected, in other words
that the 6 population means are not all equal. How many of the population means
would be significantly different from the others?
A. Three (half)
B. At least 1
C. All would be different D. More than 2

Use the following situation for Questions 48 50. A research firm reported that
15% of those surveyed described their health as poor, 26% as good, 40% as very
good, and 19% as excellent. A health professional in Chicago wanted to determine
if people in Chicago had similar feelings toward their health. In a sample of 600
people in Chicago, 70 described their health as poor, 180 as good, 210 as very
good, and 140 as excellent. Complete the chart below by filling in the observed and
expected values.
48.

49.
50.

Observed Expected
Poor
Good
Very Good
Excellent
Calculate the test statistic ________ (to two decimal places, i.e 2.34)
Given an = .05, what is the result of the chi-squared test?
A. There is not evidence to reject the claim that the proportions are equal
because the test value is less than the critical 2 value.
B. There is evidence to reject the claim that the proportions are equal because
the test value is greater than the critical 2 value.
C. There is not evidence to reject the claim that the proportions are equal
because the test value is greater than the critical 2 value.
D. There is evidence to reject the claim that the proportions are equal because
the test value is less than the critical 2 value.

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