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ECO 391 (Fall 2022)
Exam 1 Directions: ●
You have 60 minutes to complete the exam and it is out of 100 points. ●
Multiple choice 1 to 42 are worth 2.38 points per question. Good Luck!!!
1.
A sample of seven recent college graduates shows how much college debt each student carries. The numbers are $0, $9,842, $11,005, $15,803, $0, $27,209, and $98,001. What is the mode?
a.
0
b.
11,305
c.
25,553
d.
27,209
2.
Arthur calculates the mean and the median for a data set, and finds that they are far apart. What might be the reason for this?
a.
The standard deviation is very low
b.
The data follow a normal distribution
c.
The data have outliers
d.
There is no mode in the data
3.
At the end of the semester, the median grade in a statistics class is equal to 81, yet no student in the class had a final grade of 81. Which of the following must be true?
a.
The data contain outliers
b.
There are multiple modes
c.
There is an even number of students in the class
d.
The grades have a high variance
4.
The graph below shows the weighting of assignments of Alice’s History Course.
Assignment
Weight
Class Participation
10%
Midterm
20%
Final Paper
20%
Final Exam
50%
Her final grade will be out of 100. She made a 100 for class participation, an 80 on the midterm, a 90 on the final paper, and a 96 on the final exam. What is her final grade in the class?
a.
85
b.
92
c.
95
d.
96
5.
The Nielsen company collects a Simple Random Sample of residents in Lexington and has each member take a survey about their local shopping habits (no one refuses to fill out the survey). What is a potential weakness of this sampling strategy?
a.
The sample may be biased
b.
A lot of demographic information must be known about the population prior to sampling
c.
The sample may not be representative
d.
It is probably expensive relative to taking census of the population of Lexington
6.
Every member of the Freshman class at a university has to take a freshman seminar in the
Fall semester. Everyone is in a seminar and no one is in more than one seminar. The university randomly selects a subset of these seminars, and then surveys every student in those classes. Which type of sampling method is being used?
a.
Simple random
b.
Stratified random c.
Cluster
d.
Systematic
7.
The Nielsen media company wants to estimate how many viewers watched the Super Bowl. They divide the population into 3 categories by age, and then divide each category
by gender, adding up to 6 categories total. They then randomly select a sample from each
category. Which type of sampling method is being used?
a.
Simple random
b.
Stratified random
c.
Cluster
d.
Systematic
8.
In the 1960 presidential debate between John F. Kennedy and Richard Nixon, a sample of
individuals who watched the debate on television indicated that the number of viewers who believed Kennedy won the debate was much larger than the number who believed that Nixon won. This evidence has been used to support the idea that Kennedy’s debate performance helped him win the election. It has been argued that this evidence is problematic because young people were more likely to already support Kennedy, and they were also more likely to watch the debate on TV, whereas older people were more likely to support Nixon but also more likely to listen to the debate on the radio. If this critique is true, the sample of tv viewers suffers from which problem?
a.
Non-response bias
b.
Cluster error
c.
Systematic error
d.
Selection bias
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9.
The University of Kentucky attempts to collect answers to three questions about Covid-
19 from every member of the student body in order to draw conclusions about the student
body. What are they carrying out?
a.
Cluster sample
b.
Systematic sample
c.
Census
d.
Stratified random sample
10. A local TV station has an office in downtown Louisville. To gauge opinion on a mayoral race, they set up a camera on the sidewalk outside of the office and interview several passersby. Which of the following methods are they using?
a.
Systematic sampling
b.
Simple random sampling
c.
Cluster sampling
d.
Convenience sampling
11. Previous research indicates that the mean household in the United States owns 1.8 cars. A researcher collects a sample to test whether the mean is different from this number. What should be the null hypothesis?
a.
μ
=
1.8
b.
μ≠
1.8
c.
μ
<
1.8
d.
μ
>
1.8
12. An environmental scientist collects a sample of 10 pH readings from a large pond. She wants to determine whether the mean pH is greater than 7. What should be the alternative hypothesis?
a.
The sample mean is greater than 7
b.
The sample mean is less than or equal to 7
c.
The population mean is greater than 7
d.
The population mean is less than or equal to 7
13. If the alternative hypothesis is μ
>
0
, what type of test is being performed?
a.
Two-tail b.
Three-tail
c.
Left-tail
d.
Right-tail
14. Historical trends show that the average renter in Fayette county pays rent 1.5 days early. An economist collects a sample of 250 renters in Fayette in order to test whether this number was lower than 1.5 for the month of July 2020. The sample mean is 0.3, and the population standard deviation is assumed to be 2.9. What is the test statistic (z score)?
a.
3.98
b.
-4.67
c.
5.08
d.
-6.54
15. Acer claims that one of its laptop models lasts 6 years on average. A researcher collects data on 144 laptops and finds a sample mean of 4.9 years. Assume the standard deviation
is 3 years. What is the relevant test statistic (z score)?
a.
-4.4
b.
-5.9
c.
-7.2
d.
-8.7
16. Lenovo claims that one of its laptop models lasts 5 years on average. A researcher conducts a hypothesis test at the 10% level with the null hypothesis that this statement is true. The p-value is 0.01. Does the researcher reject the null hypothesis?
a.
Yes
b.
No
17. A researcher is interested in determining whether the mean of a population is greater than 10.
What should be the alternative hypothesis?
a.
μ≤
10
b.
μ≥
10
c.
μ
≼
10
d.
μ
≻
10
18. A researcher surveys a group of respondents to determine the average amount of time spent in a car per day. She tests the hypothesis that this amount of time is larger than 30 minutes and rejects the null hypothesis at the 1% level. Which of the following is true?
a.
She can certainly reject the null hypothesis at the 5% level
b.
She can possibly reject the null hypothesis at the 5% level, but possibly cannot
c.
She can certainly not reject the null hypothesis at the 5% level
d.
She can certainly not reject the null hypothesis at the 10% level
19. A researcher wants to test the hypothesis that the average number of miles that a 2010 Honda Civic can drive after its gas meter reads as empty is greater than 30. She collects data from a sample of 50 cars and finds a sample mean of 37. She assumes the standard deviation is 8 based on a literature about car manufacturing. What is the test statistic?
a.
1.99
b.
2.86
c.
4.55
d.
6.19
20. Which of the following variables is discrete?
a.
Finishing times for a 100 meter race
b.
Number of televisions in a household
c.
Head circumference of infants
d.
Volume of soda cans
21. Which of the following is not a property of the normal distribution?
a.
The mean, median and mode are all equal
b.
The tails asymptotically approach the horizontal axis
c.
The area underneath the curve and to the right of the mean is 1
d.
It has a bell shape
22. X is a random variable that is normally distributed with a mean of 0 and standard deviation of 10. If X = 20, what is the corresponding z-score?
a.
1.96
b.
2
c.
3.39
d.
3.88
23. A standardized test has scores that are normally distributed with a mean of 120 and a standard deviation of 20. Anastasia scores a 110. What is the z-score corresponding to her test score?
a.
-2
b.
-0.5
c.
0.5
d.
2
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24. The manufacturing process for a 30 pound dumbbell is slightly imprecise, so the actual weight follows a normal distribution with a mean of 30 pounds and a standard deviation of 0.01 pounds. At the end of the process, a sensitive scale is used, and all dumbbells that
are more than 0.02 pounds away from 30 are not sold at full price. What percent of dumbbells are not sold at full price?
a.
50
b.
32
c.
5
d.
1
25. Systolic blood pressure in healthy adults has a normal distribution with mean 112 mmHg and standard deviation 10 mmHg. What percentage of adults will have blood pressure above 122mmHg?
a.
16
b.
50
c.
68
d.
0.3
26. The radar gun model used by a police department to measure the speed of cars has a measurement error that follows a normal distribution with mean of 0 mph and standard deviation of 1.5 mph. Approximately what percent of readings will overestimate the speed of a car by more than 5mph?
a.
0
b.
16
c.
68
d.
50
27. Using the standard normal distribution, what is the probability that z < 1.5?
a.
0.50
b.
0.69
c.
0.93
d.
0.98
28. Using the standard normal distribution, what is the probability that z is between 0 and 1.1?
a.
0.36
b.
0.44
c.
0.86
d.
0.22
29. Using the standard normal distribution, what is the probability that z < - 0.5?
a.
0.22
b.
0.29
c.
0.31
d.
0.39
30. A researcher has a dataset that contains information on the weight of a variety of types of fish and possible determinants of weight. She runs a simple regression using weight in grams as the dependent variable and length in cm as the independent variable, and obtains the results below.
Coefficients
Standard Error
t Stat
P-value
Intercept
-488.581565
31.14187781
-15.68889
5.734E-34
Length cm
28.45831278
0.935112133
30.433048
9.801E-68
An increase in length of 1cm is associated with how many grams of increase in weight?
a.
31.14
b.
0.94
c.
30.43
d.
28.46
31. A researcher has a dataset that contains information on the weight of a variety of types of fish and possible determinants of weight. She runs a simple regression using weight in grams as the dependent variable and length in cm as the independent variable, and obtains the results below.
Coefficients
Standard Error
t Stat
P-value
Intercept
-488.581565
31.14187781
-15.68889
5.734E-34
Length cm
28.45831278
0.935112133
30.433048
9.801E-68
Which of the following is the sample regression equation?
a.
Weight = -488 + 31*length
b.
Length = -488 + 31*weight
c.
Weight = -488 + 28*length
d.
Length = -488 + 28*weight
32. A researcher has a dataset that contains information on the weight of a variety of types of fish and possible determinants of weight. She runs a simple regression using weight in grams as the dependent variable and length in cm as the independent variable. For a particular fish, the model predicts a weight of 503 grams, but the true weight is 510. What is the residual for this observation?
a.
-7
b.
7
c.
-14
d.
14
33. The least squares method minimizes the sum of which of the following?
a.
The difference between the fitted value and the true value
b.
The squared difference between the fitted value and the true value
c.
The correlation coefficient
d.
The covariance
34. If we ran a regression between the number of miles a car has been driven and its selling price, what would we expect to be the sign on mileage?
a.
Positive
b.
Negative
c.
Zero
d.
Not enough information to say
35. What is the relationship the following two variables have?
Y
10
100
1,000
10,000
100,000
1,000,000
x
1
2
3
4
5
6
a.
Positive and linear
b.
Positive and nonlinear
c.
Negative and linear
d.
Negative and nonlinear
36.
True or False:
the results of estimating a simple linear regression model help us to decide which variable to use as the dependent variable, and which one to use as the independent variable.
a.
True
b.
False
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37. A researcher collects a dataset that has the ACT and SAT scores for a sample of students who took both tests. She is interested in the relationship between scores for individuals. Which of the following values is she most interested in?
a.
Correlation coefficient between ACT and SAT score
b.
Standard deviations of ACT and SAT scores
c.
Mean ACT and SAT score
d.
Variance
38. The table below shows the final grade distribution for a statistics class. What is the median letter grade?
Grade
Percent of Class
A
30%
B
40%
C
10%
D
5%
E
15%
a.
A
b.
B
c.
C
d.
E
39.
A population is normally distributed with a mean of 5,398 and standard deviation of 6.71.
A researcher collects a sample of 1,698 observations. Approximately, what is the variance in the population?
a.
11
b.
45
c.
112
d.
209
40.
As a general guideline, the research hypothesis should be stated as the _____.
a. null hypothesis
b. alternative hypothesis
c. tentative assumption
d. hypothesis the researcher wants to disprove
41.
A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the following equation: ^
y
= 50,000 + 6*X
The above equation implies that an increase of _____.
a. $6 in advertising is associated with an increase of $6,000 in sales
b. $1 in advertising is associated with an increase of $6 in sales
c. $1 in advertising is associated with an increase of $56,000 in sales
d. $1 in advertising is associated with an increase of $6,000 in sales
42.
Assume z is a standard normal random variable. Then P (–1.20 ≤ z ≤ 1.50) equals _____.
a. 0.0483
b. 0.3849
c. 0.4332
d. 0.8181
AUTHORIZED FORMULAS:
The z-table (right tail test)
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The z-table (Left tail test)
ANSWER KEY
1.
Solution: A.
The mode is the observation that occurs most frequently in a dataset. Here, zero occurs twice, while all other values occur only once.
2.
Solution: C. Outliers may cause the mean to far away from the median.
3.
Solution: C.
If there are an odd number of values in a data set, the median is the value that is in the middle when the values are listed in order. If there are an even number of values in a data set, the median is the average of the middle two values. In this case, the median itself may not be a value in the data set.
4.
Solution: B
. Multiply each of her grades by the corresponding percentage from the chart
(converted to decimal form). Sum these numbers.
5.
Solution: C
. A sample will be cheaper than a census. A potential weakness of simple random sampling is that the sample may not be representative.
6.
Solution: C
. If a population is separated into groups and then only certain groups are selected for study (with every member of the group studied), then it is cluster sampling.
7.
Solution: B. If a population is separated into groups based on certain traits (in this case age and gender) and then a sample is drawn from each group, it is stratified random sampling
8.
Solution: D. If a sample is drawn that is different from the population under consideration, and this difference causes conclusion to be biased, we have selection bias
9.
Solution: C
. If every member of a population is studied rather than just a sample, we have a census.
10.
Solution: D
. Convenience sampling is when a sample is drawn based on convenience, such as only speaking to people on the street outside of your office.
11.
Solution: A
. The null hypothesis must include the equal sign, the greater than or equal to
sign, or the less than or equal to sign. Only choice A meets this criterion. Usually, if the researcher wants to test whether some hypothesis is true, then that hypothesis is the alternative, and all other possibilities fall under the null.
12.
Solution: C. She wants to determine whether the mean pH is greater than 7, so that is the
alternative hypothesis.
13.
Solution: D
. If the alternative hypothesis is μ
> some number, then we have a right-
tailed test.
14.
Solution: D
. The z-score formula is z
=(
x
−
μ
)/(
σ
/
√
n
)
. We can plug in to get
(
0.3
−
1.5
)/(
2.9
/
√
250
)
= -6.54 15.
Solution: A
. The z score is 4.9
−
6
3
√
144
=−
4.4
.
16.
Solution: A
. At the 10% level, we should reject the null if the p-value < 0.10. 17.
Solution: D. The possibility that the researcher is interested in is the alternative hypothesis.
18.
Solution: A. If a researcher can reject the null at the one percent level, she can certainly reject it at the five or ten percent levels, because the rejection region will be larger.
19.
Solution: D
. Apply the z formula: (
37
−
30
)/(
8
/
√
50
)=
6.19
20.
Solution: B
. We can count the number of televisions in a home, so it is discrete. The other values cannot be counted, but can be measured to any degree of accuracy, so they are continuous, not discrete.
21.
Solution: C
. The area under the entire curve is equal to one, so the area to the right of the mean is only 0.5. The other answer choices are properties of the normal distribution.
22.
Solution: B. Apply the z-score formula: (
x
−
Xbar
)/
σ
. Plugin in we get (20 – 0)/10 =2.
23.
Solution: B. Apply the z-score formula: (
x
−
Xbar
)/
σ
. Plugging in we get (110 – 120)/20 = -0.5.
24.
Solution: C. We can use the empirical rule. The standard deviation is 0.01 and dumbbells
are not sold at full price if they are more than 0.02 pounds away from 30, so these dumbbells are more than 2 standard deviations away from 30. The empirical rule tells us that 95 percent of values in a normal distribution will fall within 2 standard deviations of the mean, meaning 5 percent will outside this range. 25.
Solution: A. We can apply the empirical rule. 122mmHg is 10 units above the mean, which is just 1 standard deviation. The empirical rule tells us that 68 percent of values in a normal distribution fall within 1 standard deviation from the mean, meaning 32 percent fall outside. We are only asked about the upper tail, so we divide by 2 to get 16.
26.
Solution: A. Divide 5 by 1.5 to get 3.33, the number of standard deviations by which 5 falls above the mean. In the z-table, 3.33 corresponds to .9996, the percentage of values that fall below 5. 1 – 0.9996 = 0.0004, the percentage of values that falls above 5. This number rounds down to zero.
27.
Solution: C. Simply plug 1.5 into your z-table to find the answer, 0.93.
28.
Solution: A. First plug 1.1 into your z-table to find the area to the left of 1.1, which is 0.86. Then plug in 0, which is 0.5. Subtract the second number from the first to obtain the area between 0 and 1.1. 0.86 – 0.5 = 0.36.
29.
Solution: C. Simply plug -0.5 into the z-table to find 0.31.
30.
Solution: D. The coefficient on length gives the increase in weight that is associated with
a one unit increase in length.
31.
Solution: C. The simple regression model is y
=
β
0
+
β
1
∗
x
+
ε
. Plug in variable names and use the table to find the coefficient for the intercept and length.
32.
Solution: B. The residual is the actual value minus the predicted value for the dependent variable.
33.
Solution: B. OLS minimizes what may be called the sum of squared errors or the sum of
squared residuals
34.
Solution: B.
In general, the greater the mileage on a car, the less it will be worth, indicating a negative coefficient.
35.
Solution: B. The x values increase by the same number of units each time (one unit), but the y values increase by a different amount.
36.
Solution: B. The researcher must decide which variable to use as the dependent variable and which to use as the independent variable. The regression results will not indicate how to make this choice.
37.
Solution: A. The researcher is interested in the association between SAT and ACT scores.
She needs a measure of association, like the correlation coefficient.
38.
Solution: B. The median student is the student whose grade is below 50% of students and
is above 50% of students. In other words, the median is the student who falls at the fiftieth percentile. Looking at the chart, we can tell that this student must have a B, since 70% of students have a B or better, and it also happens that 70% have a B or less. The middle student must be somewhere in the B range.
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39.
Solution: B. The population variance is always the square of the population standard deviation. Take 6.71 and square it to obtain the answer. Most of the information in this question is not necessary to obtain the solution.
40.
Solution: B. The null hypothesis refers to the default state of nature. The alternative hypothesis typically contests the status quo, for which a corrective action may be required.
41.
Solution: D. As x increases by 1 unit, y is expected to change by the amount of the slope coefficient. Since the slope is 6, when advertising increases by one dollar, sales are expected to increase by $6,000 (y is in $1000).
42.
Solution: D. P (–1.20 ≤ z ≤ 1.50) = P(z ≤ 1.50) - P(z ≤ -1.20) = 0.9332 – 0.1151 = 0.8181
COMPOSITION OF THE EXAM
:
Chapter 03: 08 questions
Chapter 06: 11 questions Chapter 07: 06 questions
Chapter 09: 08 questions
Chapter 12: 02 questions Chapter 14
: 07 questions
Total 42 questions
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