1.

Manufacturers use random samples to test whether or not their product is meeting specifications. These samples could be people, manufactured parts, or even samples during the manufacturing of potato chips.Do you think that all random samples taken from the same population will lead to the same result?

A) Yes B) No C) Not enough data D) None of the above

2.

Manufacturers use random samples to test whether or not their product is meeting specifications. These samples could be people, manufactured parts, or even samples during the manufacturing of potato chips.What characteristic (or property of random samples) could be observed during the sampling process?

A) Variability B) Exactness C) Randomness D) None of the above

3.

A certain population has a mean of 500 and a standard deviation of 30. Many samples of size 36 are randomly selected and the means calculated.What value would you expect to find for the mean of all these sample means?

A) 36 B) 500 C) 500/36 D) None of the above

4.

The number of engines owned per fire department was obtained from a random sample taken from the profiles of fire departments from across the United States. The results are as follows:

29

8

7

33

21

26

6

11

4

54

7

4

Use the point data to find a point estimate for the standard deviation.

A) Approximately 25.5 B) Approximately 15.5 C) Approximately 10.5 D) Approximately 5.5

5.

State the null hypothesis H0 and the alternative hypothesis Ha that would be used to test the following claim:

A chicken farmer at Best Broilers claims that the chickens have a mean weight of 56 ounces.

A) H₀ = ? = 56 vs H_a: ? ? 56 B) H₀ = ? ? 56 vs H_a: ? = 56 C) H₀ = ? = 56 vs H^_a: ? = 56 D) None of the above

6.

The students at a local high school were assigned to do a project for their statistics class. The project involved having sophomores take a timed test on geometric concepts. The statistics students would then use these data to determine whether there was a difference between male and female performances. Would the resulting sets of data represent dependent or independent samples?

A) Dependent. The samples are taken from the same set of students. B) Dependent. The samples are from two separate and different sets of students. C) Independent. The two samples are from two separate and different sets of students. D) Independent. The samples are taken from the same set of students.

7.

Experts have estimated that 25% of all homeless people in the U.S. are veterans. The proportion of Americans in general who are homes is 0.11. For random samples of 100 people, which is more normal?

A) Distribution of sample proportion, when the population proportion is 0.11 B) Distribution of sample proportion, when the population proportion is 0.25 C) Both are the same D) None of the above

8.

Many biologists and anthropologist claim that 10 percent of all children conceived in the context of a marriage have been fathered by someone from outside the couple.

In this situation, the standard deviation from samples of 225 births is 0.02. If the sample size were decreased, the standard deviation would be

A) Smaller B) Larger C) The same D) There is not enough information

9.

The probability of birth by Caesarean in the U.S. is 0.30

If the probability of Caesarean birth is 0.30, and 140 in a sample of 500 births are Caesarean, which of these numbers is n?

A) 0.30 B) 140 C) 500 D) 140/500

10.

This graph shows the distribution of ACT scores for a population of students.

Which of these is your best guess for the probability of a score being greater than 30?

A) 0.016 B) 0.036 C) 0.16 D) 0.36

11.

Online interviews of 1500 parents with children under the age of eight found the proportion who read to their children at least 20 minutes a day to be 0.78. Suppose a reporter would like to claim that more than three-fourths (0.75) of all parents with children under eight read to them at least twenty minutes daily.

What notation is used for the number 0.75?

A) p B) p? C) p₀ D) None of the above

12.

A Type I Error is rejecting the null hypothesis, even though it is true; a Type II Error is failing to reject the null hypothesis, even though it is false.

Merck developed an AIDS vaccine that showed promise in initial tests. Unfortunately, in a subsequent test conducted internationally on a large group of volunteers, those vaccinated were no less likely to become infected than those who were not vaccinated. Apparently, Merck

ACT Score Analysis of Variance Analysis of Variance Analysis of Variance