Cumulative Exam — Cumulative exam Answers

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At a local college, an admissions officer surveys the incoming class of 1,000 first-year students concerning their preference of major. The officer randomly selects 100 of them and asks if they intend to major in liberal arts. Of the 100 first-year students, 62 state they intend on majoring in liberal arts. Assuming the conditions for inference have been met, what is the 95% confidence interval for the true proportion of first-year students who intend on majoring in liberal arts?

A
0.38 plus-or-minus 1.96 StartRoot StartFraction 0.38 (1 minus 0.38) Over 100 EndFraction EndRoot
Option A
B
0.62 plus-or-minus 1.96 StartRoot StartFraction 0.62 (1 minus 0.62) Over 100 EndFraction EndRoot
Option B
C
0.38 plus-or-minus 1.65 StartRoot StartFraction 0.38 (1 minus 0.38) Over 1000 EndFraction EndRoot
Option C
D
0.62 plus-or-minus 1.65 StartRoot StartFraction 0.62 (1 minus 0.62) Over 1000 EndFraction EndRoot
Option D
3

A 95% confidence interval for the true proportion of teenagers who have been to a professional sporting event is (0.289, 0.416). Is it reasonable to believe that more than 25% of teenagers have been to a professional sporting event?

A
Yes, because 0.3525 is in the interval.
B
Yes, because the entire interval is greater than 0.25.
C
No, because there are values in the interval greater than 0.3525.
D
No, because the center of the interval is 0.3525, which is not statistically greater than 0.25.
4

A large home improvement store is considering expanding its selection of moving products, such as cardboard boxes and packing tape. The store constructs a 90% confidence interval to estimate the proportion of all customers who have moved houses at least once in the last five years. In the random sample of 620 customers, 201 (32.4%) replied that they had moved at least once in the last five years. The sample yielded the 90% confidence interval (0.293, 0.355) for the proportion of all customers who have moved in the past five years. What is the correct interpretation of this confidence interval?

A
The store can be 90% confident that a proportion of 0.324 of all customers of this store have moved in the past five years.
B
There is a 90% probability that between 29.3% and 35.5% of all customers of this store have moved in the past five years.
C
There is a 10% chance that less than 29.3% or more than 35.5% of all customers of this store have moved in the past five years.
D
The store can be 90% confident that the interval from 0.293 to 0.355 captures the proportion of all customers of this store who have moved in the past five years.
5

A statistics class weighed 20 bags of grapes purchased from the store. The bags are advertised to contain 16 ounces, on average. The class calculated the 90% confidence interval for the true mean weight of bags of grapes from this store to be (15.875, 16.595) ounces. What is the sample mean weight of grapes, and what is the margin of error?

A
The sample mean weight is 15.875 ounces, and the margin of error is 16.595 ounces.
B
The sample mean weight is 16.235 ounces, and the margin of error is 0.360 ounces.
C
The sample mean weight is 16.235 ounces, and the margin of error is 0.720 ounces.
D
The sample mean weight is 16 ounces, and the margin of error is 0.720 ounces.
6

A major car dealership has several stores in a big city. The owner wants to determine if there is a difference in the proportion of SUVs that are sold at stores A and B. The owner gathers the sales records for each store from the past year. A random sample of 55 receipts from store A shows that 30 of the sales were for SUVs. Another random sample of 60 receipts from store B shows that 42 of the sales were for SUVs. Assuming conditions for inference are met, what is the 99% confidence interval for the difference in proportions of sales that are SUVs?Find the z-table here.

A
(0.45 minus 0.30) plus-or-minus 1.96 StartRoot StartFraction 0.45 (1 minus 0.45) Over 60 EndFraction + StartFraction 0.30 (1 minus 0.30) Over 55 EndFraction EndRoot
Option A
B
(0.55 minus 0.70) plus-or-minus 1.96 StartRoot StartFraction 0.55 (1 minus 0.55) Over 55 EndFraction + StartFraction 0.70 (1 minus 0.70) Over 60 EndFraction EndRoot
Option B
C
(0.45 minus 0.30) plus-or-minus 2.58 StartRoot StartFraction 0.45 (1 minus 0.45) Over 60 EndFraction + StartFraction 0.30 (1 minus 0.30) Over 55 EndFraction EndRoot
Option C
D
(0.55 minus 0.70) plus-or-minus 2.58 StartRoot StartFraction 0.55 (1 minus 0.55) Over 55 EndFraction + StartFraction 0.70 (1 minus 0.70) Over 60 EndFraction EndRoot
Option D
8

Lighter cars are more fuel-efficient than heavier cars. An environmentalist would like to estimate the true mean weight of all cars. To do so, she selects a random sample of 30 cars and determines the 90% confidence interval for the true mean weight to be 2.8 to 3.4 tons. Which of these statements is a correct interpretation of the confidence level?

A
There is a probability of 0.90 that the confidence interval (2.8, 3.4) captures the true mean weight of all cars.
B
The environmentalist can be 90% confident that the true mean weight of all cars is between 2.8 and 3.4 tons.
C
If many random samples of size 30 are selected from the population of all cars, approximately 90% of the sample means will be between 2.8 and 3.4 tons.
D
If many random samples of size 30 are selected from the population of all cars, about 90% of the intervals would capture the true mean weight of all cars.
13

A college professor would like to estimate the proportion of students who pull an "all-nighter,” meaning they study all night for an upcoming exam. She selects a random sample of 100 students from her large college and finds that the 99% confidence interval for the true proportion of students who pull an all-nighter is 0.48 to 0.62. Which of these statements is a correct interpretation of the confidence level?

A
Approximately 99% of all students have pulled an all-nighter.
B
There is a 99% probability that the true proportion of all students who pull an all-nighter is between 0.48 and 0.62.
C
If many random samples of size 100 are selected from all students at this college, approximately 99% of the intervals would capture the true proportion who pull an all-nighter.
D
Approximately 99% of the sample proportions of students who pull an all-nighter, based on random samples of size 100 from the population of all students at this college, will fall between 0.48 and 0.62.
15

After a hailstorm, a large car dealership wants to determine the proportion of cars that have damage. The service department randomly selects 50 cars on the dealership lot, examines them, and determines that 18 have damage. Assuming all conditions have been met, they construct a 99% confidence interval for the true proportion of cars with damage from the storm. What are the calculations for this interval?

A
0.36 plus-or-minus 2.58 StartRoot StartFraction 0.36 (1 minus 0.36) Over 50 EndFraction EndRoot
Option A
B
0.64 plus-or-minus 2.33 StartRoot StartFraction 0.64 (1 minus 0.64) Over 50 EndFraction EndRoot
Option B
C
0.36 plus-or-minus 2.33 StartRoot StartFraction 0.36 (1 minus 0.36) Over 50 EndFraction EndRoot
Option C
D
0.64 plus-or-minus 2.58 StartRoot StartFraction 0.64 (1 minus 0.64) Over 50 EndFraction EndRoot
Option D
17

An inspector inspects large truckloads of potatoes to determine the proportion with blemishes prior to using the potatoes to make potato chips. She intends to compute a 95% confidence interval for this proportion. To do so, she selects a simple random sample of 90 potatoes, and finds 12 with blemishes. The 95% confidence interval is (0.063, 0.204). What is the correct interpretation for this confidence interval?

A
The inspector can be 95% confident that the proportion of potatoes with blemishes is 0.133.
B
In 95% of samples taken, between 6.3% and 20.4% of the sampled potatoes would have blemishes.
C
The inspector can be 95% confident that the interval from 0.063 to 0.204 captures the proportion of all potatoes on the truck with blemishes.
D
There is a 5% probability that the proportion of all potatoes that have blemishes is either below 0.063 or above 0.204.
18

According to a recent random survey of 1,963 high school students, 581 report playing a musical instrument. A 90% confidence interval for the population of high school students who play a musical instrument is constructed. Which statement identifies what is being estimated?Find the z-table here.

A
The proportion being estimated is .
Option A
B
The true proportion of high school students who play a musical instrument is p.
C
The true proportion of high school students who play a musical instrument is .
Option C
D
The sample proportion of high school students who play a musical instrument is .
Option D
20

A researcher takes a random sample of 2,496 drivers and finds that 1,603 put their phone in "drive mode” to not be distracted while driving. A 90% confidence interval for the proportion of drivers who use "drive mode” on their phones is (0.626, 0.658). Which statement correctly interprets the interval?

A
The researcher can be 90% confident that 64% of all drivers will use “drive mode” while driving.
B
There is a 90% probability that the proportion of drivers who use “drive mode” lies between 0.626 and 0.658.
C
The researcher can be 90% confident that the interval from 0.626 to 0.658 captures the true proportion of all drivers who use “drive mode.”
D
If this procedure is repeated many, many times, the true proportion of drivers who use “drive mode” will be captured 90% of the time.

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