Chapter 7: Q. 7.29 (page 300)
Does the sample size have an effect on the standard deviation of all possible sample means? Explain your answer.
Short Answer
Yes, the sample size has an effect on the standard deviation of all possible sample means.
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Chapter 7: Q. 7.29 (page 300)
Does the sample size have an effect on the standard deviation of all possible sample means? Explain your answer.
Yes, the sample size has an effect on the standard deviation of all possible sample means.
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According to the U.S. Census Bureau publication Manufactured Housing Statistics, the mean price of new mobile homes is . Assume a standard deviation of . Let x denoted the mean price of a sample of new mobile homes.
Part (a): For samples of size , find the mean and standard deviation of . Interpret your results in words.
Part (b): Repeat part (a) with .
Refer to Exercise 7.9 on page 295.
a. Use your answers from Exercise 7.9(b) to determine the mean, , of the variable for each of the possible sample sizes.
b. For each of the possible sample sizes, determine the mean, , of the variable , using only your answer from Exercise 7.9(a).
America's Riches. Each year, forbes magazine publishes a list of the richest people in the United States. As of September l6, 2013, the six richest Americans and their wealth (to the neatest billion dollars) are as shown in the following table. Consider these six people a population of interest.

(a) For sample size of construct a table similar to table 7.2 on page293.(There are 15 possible sample of size
(b) For a random sample of size determine the probability that themean wealth of the two people obtained will be within (i.e,billion) of the population mean. interpret your result in terms of percentages.
Worker Fatigue. A study by M. Chen et al. titled "Heat Stress Evaluation and Worker Fatigue in a Steel Plant (American Industrial Hygiene Association, Vol. 64. Pp. 352-359) assessed fatigue in steelplant workers due to heat stress. If the mean post-work heart rate for casting workers equals the normal resting heart rate of beats per minute (bpm), find the probability that a random sample of casting workers will have a mean post-work heart rate exceeding Assume that the population standard deviation of post-work heart rates for casting workers is bpm. State any assumptions that you are making in solving this problem.
Does the sample size have an effect on the mean of all possible sample means? Explain your answer.
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