Chapter 7 AP Statistics Practice Test

Suppose we select an SRS of size n = 100 from a large population having proportion of successes. Let be the proportion of successes in the sample. For which value of p would it be safe to use the Normal approximation to the sampling distribution of ?

.85

A researcher initially plans to take an SRS of size n from a population that has mean 80 and standard deviation 20. If he were to double his sample size (to 2n), the standard deviation of the sampling distribution of the sample mean would be multiplied by

1/ square root of 2

A machine is designed to fill 16-ounce bottles of shampoo. When the machine is working properly, the amount poured into the bottles follows a Normal distribution with mean 16.05 ounces and standard deviation 0.1 ounce. Assume that the machine is working properly. If four bottles are randomly selected and the number of ounces in each bottle is measured, then there is about a 95% chance that the sample mean will fall in which of the following intervals?

15.95 to 16.15 ounces

A study of voting chose 663 registered voters at random shortly after an election. Of these, 72% said they had voted in the election. Election records show that only 56% of registered voters voted in the election. Which of the following statements is true about the boldface numbers?

72% is a statistic and 56% is a parameter.

he number of undergraduates at Johns Hopkins University is approximately 2000, while the number at Ohio State University is approximately 60,000. At both schools, a simple random sample of about 3% of the undergraduates is taken. Each sample is used to estimate the proportion p of all students at that university who own an iPod. Suppose that, in fact, p = 0.80 at both schools. Which of the following is the best conclusion?

The estimate from Johns Hopkins has more sampling variability than that from Ohio State.

Which of the following statements about the sampling distribution of the sample mean is incorrect?

The sampling distribution shows how the sample was distributed around the sample mean.

The student newspaper at a large university asks an SRS of 250 undergraduates, "Do you favor eliminating the carnival from the term-end celebration?" All in all, 150 of the 250 are in favor. Suppose that (unknown to you) 55% of all undergraduates favor eliminating the carnival. If you took a very large number of SRSs of size n = 250 from this population, the sampling distribution of the sample proportion would be

approximately Normal with mean 0.55 and standard deviation 0.03.

The central limit theorem is important in statistics because it allows us to use the Normal distribution to find probabilities involving the sample mean

if the sample size is reasonably large (for any population).

The Gallup Poll has decided to increase the size of its random sample of voters from about 1500 people to about 4000 people right before an election. The poll is designed to estimate the proportion of voters who favor a new law banning smoking in public buildings. The effect of this increase is to

reduce the variability of the estimate

Suppose that you are a student aide in the library and agree to be paid according to the "random pay" system. Each week, the librarian flips a coin. If the coin comes up heads, your pay for the week is $80. If it comes up tails, your pay for the week is $40. You work for the library for 100 weeks. Suppose we choose an SRS of 2 weeks and calculate your average earnings . The shape of the sampling distribution of will be

symmetric but not Normal.