test_9d

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Chapter 9 1 Test 9D Test 9D AP Statistics Name: Directions: Work on these sheets. Part 1: Multiple Choice. Circle the letter corresponding to the best answer. 1. 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? (a) 72% is a sample; 56% is a population (b) 72% and 56% are both statistics (c) 72% is a statistic and 56% is a parameter (d) 72% is a parameter and 56% is a statistic (e) 72% and 56% are both parameters 2. The number of hours a light bulb burns before failing varies from bulb to bulb. The distribution of burnout times is strongly skewed to the right. The central limit theorem says that (a) as we look at more and more bulbs, their average burnout time gets ever closer to the mean for all bulbs of this type. (b) the average burnout time of any number of bulbs has a distribution of the same shape (strongly skewed) as the distribution for individual bulbs. (c) the average burnout time of any number of bulbs has a distribution that is close to Normal. (d) the average burnout time of a large number of bulbs has a distribution of the same shape (strongly skewed) as the distribution for individual bulbs. (e) the average burnout time of a large number of bulbs has a distribution that is close to Normal. 3. The Gallup Poll has decided to increase the size of its random sample of Canadian voters from about 1500 people to about 4000 people right before an election. The poll is designed to estimate the proportion of Canadian voters who favor a new law banning smoking in public buildings. The effect of this increase is to (a) reduce the bias of the estimate. (b) increase the bias of the estimate. (c) reduce the variability of the estimate. (d) increase the variability of the estimate. (e) have no effect since the population size is the same. 4. Which of the following statements about the sampling distribution of the sample mean is INCORRECT: (a) The standard deviation of the sampling distribution will decrease as the sample size increases. (b) The standard deviation of the sampling distribution is a measure of the variability of the sample mean among repeated samples. (c) The sample mean is an unbiased estimator of the true (unknown) population mean. (d) The sampling distribution shows how the sample mean will vary among repeated samples. (e) The sampling distribution shows how the sample was distributed around the sample mean.

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Page 1: Test_9D

Chapter 9 1 Test 9D

Test 9D AP Statistics Name: Directions: Work on these sheets.

Part 1: Multiple Choice. Circle the letter corresponding to the best answer.

1. 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?

(a) 72% is a sample; 56% is a population

(b) 72% and 56% are both statistics

(c) 72% is a statistic and 56% is a parameter

(d) 72% is a parameter and 56% is a statistic

(e) 72% and 56% are both parameters

2. The number of hours a light bulb burns before failing varies from bulb to bulb. The distribution of

burnout times is strongly skewed to the right. The central limit theorem says that

(a) as we look at more and more bulbs, their average burnout time gets ever closer to the mean

for all bulbs of this type.

(b) the average burnout time of any number of bulbs has a distribution of the same shape (strongly

skewed) as the distribution for individual bulbs.

(c) the average burnout time of any number of bulbs has a distribution that is close to Normal.

(d) the average burnout time of a large number of bulbs has a distribution of the same shape

(strongly skewed) as the distribution for individual bulbs.

(e) the average burnout time of a large number of bulbs has a distribution that is close to Normal.

3. The Gallup Poll has decided to increase the size of its random sample of Canadian voters from

about 1500 people to about 4000 people right before an election. The poll is designed to estimate

the proportion of Canadian voters who favor a new law banning smoking in public buildings. The

effect of this increase is to

(a) reduce the bias of the estimate.

(b) increase the bias of the estimate.

(c) reduce the variability of the estimate.

(d) increase the variability of the estimate.

(e) have no effect since the population size is the same.

4. Which of the following statements about the sampling distribution of the sample mean is

INCORRECT:

(a) The standard deviation of the sampling distribution will decrease as the sample size increases.

(b) The standard deviation of the sampling distribution is a measure of the variability of the sample

mean among repeated samples.

(c) The sample mean is an unbiased estimator of the true (unknown) population mean.

(d) The sampling distribution shows how the sample mean will vary among repeated samples.

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

Page 2: Test_9D

Chapter 9 2 Test 9D

5. Suppose we select an SRS of size n = 100 from a large population having proportion p of successes.

Let p̂ be the proportion of successes in the sample. For which value of p would it be safe to use

Normal approximation to the sampling distribution of p̂ ?

(a) 0.01 (b) 1/11 (c) 0.85 (d) 0.975 (e) 0.999

6. A survey asks a random sample of 1500 adults in Ohio if they support an increase in the state sales

tax from 5% to 6%, with the additional revenue going to education. Let p̂ denote the proportion

in the sample who say they support the increase. Suppose that 40% of all adults in Ohio support

the increase. The standard deviation of p̂ is

(a) 0.40 (b) 0.24 (c) 0.0126 (d) 0.00016 (e) 0

7. Suppose we are planning on taking an SRS of size n from a population. If we double the sample

size, then x will be multiplied by

(a) 2 (b) 1 2 (c) 2 (d) 1/2

(e) none of these

Part 2: Free Response Communicate your thinking clearly and completely.

8. A Gallup Poll of a random sample of 1089 Canadians (total population of 30,000,000) found that

about 80% favored capital punishment. A Gallup Poll of a random sample of 1089 Americans

(total population of 300,000,000) also found that 80% favored capital punishment. The accuracy

of an estimate describes the closeness of that estimate to the unknown true parameter value.

Precision is the degree to which repeated estimates produced using the same sampling method

would provide answers very close to each other.

(a) Which poll gives a more accurate estimate of the proportion of that nation’s citizens who favor

capital punishment? Justify your answer.

(b) Which poll gives a more precise estimate of the proportion of that nation’s citizens who favor

capital punishment? Justify your answer.

Page 3: Test_9D

Chapter 9 3 Test 9D

9. Companies are interested in the demographics of those who listen to the radio programs they

sponsor. A radio station has determined that only 20% of listeners phoning in to a morning talk

program are male. The station management wonders if adding a male host to the program will

increase the proportion of callers who are male. After adding the male host, the station records the

gender of 200 people who phone in to the program during a particular week. The station is willing

to view these 200 callers as an SRS from the population of all those who call in to this program.

For the moment, assume that the addition of the male host has no effect on the proportion of callers

who are male.

(a) If p̂ is the proportion of callers in the sample who are male, what is the mean of the sampling

distribution of p̂ ?

(b) What is the standard deviation of the sampling distribution of p̂ ?

(c) Explain why you can use the formula for the standard deviation of p̂ in this setting.

(d) In fact, during this particular week, 50 of the 200 callers were male. Does this provide

sufficient evidence to suggest that the proportion of male callers has increased from 20%? To

answer this question, calculate the probability of obtaining a sample of 200 callers in which

ˆ 0.25p if the true population proportion of callers to the show who are male is still p = 0.20.

Be sure to check that you can use the Normal approximation.

(e) Based on your answer to part (d), can the station management conclude that the addition of the

male host caused an increase in the proportion of male callers to the program? Explain.

Page 4: Test_9D

Chapter 9 4 Test 9D

10. The weight of the eggs produced by a certain breed of hen is Normally distributed with mean 65

grams (g) and standard deviation 5 g.

(a) Calculate the probability that a randomly selected egg weighs between 62.5 g and 68.75 g.

Show your work.

Think of cartons of such eggs as SRSs of size 12 from the population of all eggs.

(b) Calculate the probability that the mean weight of a carton falls between 62.5 g and 68.75 g.

Show your work.

(c) Did you need to know that the population distribution of egg weights was Normal in order to

complete parts (a) or (b)? Justify your answer.

Bonus: Suppose you obtain a carton of eggs that is supposed to be from this type of hen, and only

two of the eggs weigh between 62.5 g and 68.75 g. What would you conclude about whether the

eggs came from this type of hen? Give appropriate statistical evidence to support your answer.

I pledge that I have neither given nor received aid on this test. ___________________________