Unit Test — Unit test Answers

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A grocery store shopper wants to estimate the mean weight of the eggs in a particular carton of extra-large eggs. She opens the carton of eggs, randomly selects three eggs, and weighs them on a food scale. Are the conditions for constructing a t confidence interval met?

A
Yes, the conditions for inference are met.
B
No, none of the conditions for inference are met.
C
No, the Normal/large sample condition is not met, though the other conditions are met.
D
No, the 10% condition is not met, the Normal/large sample condition is not met, but the random condition is met.
5

A medical study is conducted to determine which migraine treatment, A or B, provides faster relief. The study uses 10 volunteers who claim to suffer from migraines. Half of the volunteers are randomly assigned to use treatment A when they experience their first migraine. The other half are assigned to use treatment B. Then, after no treatment for one month, the treatments are reversed. The volunteers each record the amount of time it takes, in minutes, to experience relief from their migraine under each treatment. The data are displayed in the table.The conditions for inference are met. The 99% confidence interval for the mean difference (A – B) in the time it takes to experience relief is –8.37 minutes to 0.732 minutes. What is the correct interpretation of this interval?

Question illustration
A
The researchers can be 99% confident that the interval from –8.37 minutes to 0.732 minutes captures the true mean time it takes to experience relief.
B
The researchers can be 99% confident that the interval from –8.37 minutes to 0.732 minutes captures the true mean difference in the time it takes to experience relief.
C
The researchers can be 99% confident that the interval from –8.37 minutes to 0.732 minutes captures the true mean time it takes these volunteers to experience relief.
D
The researchers can be 99% confident that the interval from –8.37 minutes to 0.732 minutes captures the true mean difference in the time it takes these volunteers to experience relief.
6

The manager of an aquatic center is interested in the average number of fish people keep in their saltwater tanks. She randomly selects 38 people who own saltwater fish tanks and asks how many fish they have. The mean amount is 48.2 fish with a standard deviation of 22.1 fish.Which of the following correctly interprets the 99% confidence interval for the true mean number of fish in saltwater tanks?

A
In repeated sampling, 99% of the time the true mean number of fish in saltwater tanks will be 48.2.
B
99% of all saltwater tank owners have the number of fish in their tanks that lie between the values in the interval.
C
The manager can be 99% confident that the constructed interval captures the true mean number of fish in saltwater tanks.
D
In repeated sampling, 99% of the time the true mean number of fish in saltwater tanks will be captured in the constructed interval.
7

A study seeks to estimate the difference in the mean fuel economy (measured in miles per gallon) for vehicles under two treatments: driving with underinflated tires versus driving with properly inflated tires. To quantify this difference, the manufacturer randomly selects 12 cars of the same make and model from the assembly line and then randomly assigns six of the cars to be driven 500 miles with underinflated tires and the other six cars to be driven 500 miles with properly inflated tires. Here are summary statistics and dotplots of the results:Group NamenmeanSDminQ1medQ3max1: Underinflated616.3330.75315.2515.7516.3751717.252: Properly inflated618.2921.49516.51718.12519.7520.2What is the correct 90% confidence interval for the true difference in the population means (underinflated – properly inflated)? Use the conservative df.Find the t-table here.

Question illustration
A
(16.333 minus 18.292) plus-or-minus 1.943 StartRoot StartFraction 0.753 squared Over 6 EndFraction + StartFraction 1.495 squared Over 6 EndFraction EndRoot
Option A
B
(16.333 minus 18.292) plus-or-minus 1.943 StartRoot StartFraction 0.753 squared Over 6 EndFraction minus StartFraction 1.495 squared Over 6 EndFraction EndRoot
Option B
C
(16.333 minus 18.292) plus-or-minus 2.015 StartRoot StartFraction 0.753 squared Over 6 EndFraction + StartFraction 1.495 squared Over 6 EndFraction EndRoot
Option C
D
(16.333 minus 18.292) plus-or-minus 2.015 StartRoot StartFraction 0.753 squared Over 6 EndFraction minus StartFraction 1.495 squared Over 6 EndFraction EndRoot
Option D
9

A researcher is 95% confident that the interval from 2.8 hours to 6.5 hours captures the true mean amount of time it takes for 1 square foot of fresh paint to dry.Is there evidence that the true mean number of hours for 1 square foot of this type of paint to dry is greater than 5?

Question illustration
A
No. There is not evidence for the population mean to be greater than 5, because 5 is within the 95% confidence interval.
B
No. There is not evidence for the population mean to be greater than 5, because there are values less than 5 within the 95% confidence interval.
C
Yes, there is evidence for the population mean to be greater than 5, because 5 is within the 95% confidence interval.
D
Yes, there is evidence for the population mean to be greater than 5, because 5 is closer to the upper bound of the 95% confidence interval than the lower bound.
10

A trainer would like to estimate the number of runs of the same length and same speed it takes for an individual’s body to adjust to the activity. To do this, the trainer selects a random sample of 30 adults who do not currently run and assigns them to run 1 mile at a 12-minute pace every day until they can do so easily. The trainer finds that the standard error of the mean is 2.2 days. What is the interpretation of the standard error of the mean?

A
For this sample of 30 adults, the sample mean amount of time needed to adjust to this workout varied by 2.2 days from the population mean.
B
If we select many random samples of adults who do not currently run and assign them to this training program, the sample mean amount of time needed to adjust to this workout would typically vary by about 2.2 days from the population mean.
C
If we select many random samples of adults who do not currently run and assign them to this training program, the population mean number of days it would take for the participants to adjust to the workout would be approximately 2.2 days.
D
If we select many random samples of adults who do not currently run and assign them to this training program, the population mean number of days it would take for the participants to adjust to the workout would typically vary by approximately 2.2 days.
14

A study seeks to estimate the difference in the mean fuel economy (measured in miles per gallon) for vehicles under two treatments: driving with underinflated tires versus driving with properly inflated tires. To quantify this difference, the manufacturer randomly selects 12 cars of the same make and model from the assembly line and then randomly assigns six of the cars to be driven 500 miles with underinflated tires and the other six cars to be driven 500 miles with properly inflated tires. A 95% confidence interval for the true difference in the mean fuel economy for cars of this make and model driven with underinflated tires versus properly inflated tires is –3.339 mpg to –0.585 mpg. Interpret this interval.

A
The manufacturer can be 95% confident that the interval from –3.339 to –0.585 captures the sample mean difference in fuel economy (underinflated – properly inflated).
B
The manufacturer can be 95% confident that the interval from –3.339 to –0.585 captures the true mean difference in fuel economy (underinflated – properly inflated).
C
The manufacturer can be 95% confident that a randomly selected car with underinflated tires will get between 3.339 and 0.585 fewer miles per gallon than a randomly selected car with properly inflated tires.
D
The manufacturer can be 95% confident that a randomly selected group of six cars with underinflated tires will get between 3.339 and 0.585 fewer miles per gallon than a randomly selected group of six cars with properly inflated tires.
16

Two students want to determine whose paper airplane model can fly the farthest. To put their models to the test, they recruit five friends to participate in a study. Because the friends have varying throwing abilities, the students decide to have each friend throw each model of airplane. To determine which paper airplane each friend throws first, a coin is tossed. The data are displayed in the table, which shows how far each airplane flies to the nearest inch.

Question illustration
A
The model B plane will fly farther than the model A plane 90% of the time.
B
The model A plane will fly farther than the model B plane 90% of the time.
C
The students can be 90% confident that, on average, the model A plane flies between 91.08 inches farther than and 11.08 inches less than the model B plane.
D
The students can be 90% confident that, on average, the model B plane flies between 91.08 inches farther than and 11.08 inches less than the model A plane.
19

A government agency constructs a 95% confidence interval to estimate the mean amount of pollution in a city’s river. Assume that all conditions have been met. The one-sample t-interval is (1.26, 3.91).

A
No. Because 4.00 is close to the upper bound of the interval, it is reasonable to believe the river is not contaminated.
B
No. Because the interval representing the mean amount of pollution is entirely below 4.00, it is reasonable to believe the river is not contaminated.
C
Yes. Because 4.00 is close to the upper bound of the interval, it is reasonable to believe the river is contaminated.
D
Yes. Because the interval representing the mean amount of pollution is entirely below 4.00, it is reasonable to believe the water is contaminated.

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