Sampling Distributions (College Board AP® Statistics): Exam Questions

5 mins5 questions
1
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1 mark

The distribution of a random variable has a strong skew with a mean of mu equals 20 and a standard deviation of sigma equals 8.

From a random sample of size 625, what would be the sampling distribution of the sample mean, x with bar on top?

  • Approximately normal with a mean of 20 and a standard deviation of 8

  • Approximately normal with a mean of 20 and a standard deviation of 0.32

  • Strongly skewed with a mean of 20 and a standard deviation of 8

  • Strongly skewed with a mean of 20 and a standard deviation of 0.32

  • Uniformly distributed with a mean of 20 and a standard deviation of 8

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2
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1 mark

Let p be the population proportion and n be the size of a random sample taken from the population. Which of the following cases has the greatest standard deviation for the sampling distribution of the sample proportion, p with hat on top?

  • When n equals 80 and p is close to 1

  • When n equals 80 and p is close to 0

  • When n equals 80 and p is close to 1 half

  • When n equals 8 comma 000 and p is close to 0

  • When n equals 8 comma 000 and p is close to 1 half

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3
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1 mark

A sociologist wants to estimate the average number of hours workers spend commuting to work each day in a particular city. They plan to take a random sample of 500 workers and ask them the question: How many hours do you spend commuting to work each day? Let mu represent the population mean (the mean number of hours spent commuting each day for all workers in the city) and let x with bar on top represent the sample mean (the mean number of hours spent commuting each day for the 500 randomly selected workers). Is the sample mean, x with bar on top, an unbiased estimator of the population mean, mu?

  • No, because the number of hours spent commuting is not normally distributed.

  • No, because the sample mean, x with bar on top, is unlikely to be equal to the population mean, mu.

  • Yes, because the wording of the question "How many hours do you spend commuting to work each day?" is unbiased.

  • Yes, because the standard deviation of the sample mean, x with bar on top, is small when the sample size is 500.

  • Yes, because the mean of all possible sample means, x with bar on top, is equal to the population mean, mu.

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4
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1 mark

In a particular country, 65% of people under the age of 20 would vote for a new president, while 60% of those aged 20 or over would do the same. A simulation was performed in which a random sample of 300 people under the age of 20 and 270 people aged 20 or over were asked if they would vote for a new president. The difference in the sample proportions of those who answered yes, p with hat on top subscript under space 20 end subscript minus p with hat on top subscript 20 space or space over end subscript, was found. The simulation was run 5,000 times, and the sampling distribution of the difference in sample proportions is shown below. Which of the following a, b, and c values are the most likely?

Histogram showing the distribution of the difference in sample proportions. The X-axis is labeled with points a, b, and c.
  • a equals negative 0.08, b equals 0, and c equals 0.08

  • a equals 0.49, b equals 0.65, and c equals 0.81

  • a equals 0.44, b equals 0.6, and c equals 0.76

  • a equals negative 0.031, b equals 0.05, and c equals 0.131

  • a equals 0.045, b equals 0.05, and c equals 0.055

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5
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1 mark

It is known that 12% of new cell phones from a certain company break after six months. A quality control inspector follows a random sample of 250 customers who bought new phones from the company for six months to see if they have broken or not. What is the best approximation to the probability that less than 10% of the 250 phones sampled are broken? Note that z represents the standard normal variable.

  • P open parentheses z less than fraction numerator 0.1 minus 0.12 over denominator square root of fraction numerator 0.12 open parentheses 0.88 close parentheses over denominator 250 end fraction end root end fraction close parentheses

  • P open parentheses z less than fraction numerator 0.12 minus 0.1 over denominator square root of fraction numerator open parentheses 0.12 close parentheses open parentheses 0.88 close parentheses over denominator 250 end fraction end root end fraction close parentheses

  • P open parentheses z less than fraction numerator 0.1 minus 0.12 over denominator square root of fraction numerator open parentheses 0.1 close parentheses open parentheses 0.9 close parentheses over denominator 250 end fraction end root end fraction close parentheses

  • P open parentheses z less than fraction numerator 0.1 minus 0.12 over denominator square root of fraction numerator open parentheses 0.5 close parentheses open parentheses 0.5 close parentheses over denominator 250 end fraction end root end fraction close parentheses

  • P open parentheses z less than fraction numerator 0.12 minus 0.1 over denominator square root of open parentheses 0.1 close parentheses open parentheses 0.9 close parentheses end root end fraction close parentheses

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