Spring A 2026 MATH.40.HSF2 Statistics: Week 7: Quiz 7

Spring A 2026 MATH.40.HSF2 Statistics: Week 7: Quiz 7

Week 7: Quiz 7

Question 1

The Central Limit Theorem is important in statistics because:

  • a. For any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size.

  • b. For any sized sample, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the distribution.

  • 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?

  • a. The mean of the sampling distribution is always μ.

  • b. The standard deviation of the sampling distribution is always σ.

  • 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?

  • a. 6 ounces

  • b. 2.5 ounces

  • 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?

  • a. 0.012 million

  • b. 0.12 million

  • 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?

  • a. 0.300

  • b. 0.003

  • 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.

  • a. approximately 0

  • b. 0.0828

  • c. 0.9772

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