Week 7: Quiz 7
Question 1
The Central Limit Theorem is important in statistics because:
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a. For any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size.
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b. For any sized sample, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the distribution.
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c. As the sample size gets large enough, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population.
Question 2
Which of the following is true about the sampling distribution of the mean?
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a. The mean of the sampling distribution is always μ.
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b. The standard deviation of the sampling distribution is always σ.
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c. The shape of the sampling distribution of the mean is always approximately normal, regardless of the sample size.
Question 3
Suppose a sample of n = 25 items is selected from a population of manufactured products and the weight, X, of each item is recorded. Prior experience has shown that the weight has a probability distribution with μ = 6 ounces and σ = 2.5 ounces. What is the standard error of the mean?
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a. 6 ounces
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b. 2.5 ounces
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c. 0.5 ounces
Question 4
Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in a recent year. Suppose a sample of 100 major league players was taken. What was the standard error for the sample mean salary?
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a. 0.012 million
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b. 0.12 million
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c. 12 million
Question 5
The owner of a fish market has an assistant who has determined that the weights of catfish are normally distributed, with a mean of 3.2 pounds and a standard deviation of 0.8 pound. If a sample of 16 fish is taken, what would the standard error of the mean weight equal?
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a. 0.300
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b. 0.003
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c. 0.200
Question 6
Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in a recent year. Suppose a sample of 100 major league players was taken. Find the approximate probability that the mean salary of the 100 players exceeded $4.0 million.
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a. approximately 0
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b. 0.0828
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c. 0.9772
Tutorial for Quiz 7

