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7.49 Mobile Homes. According to the U.S. Census Bureau publication Manufactured Housing Statistics, the mean price of new mobile homes is \(65,100. Assume a standard deviation of \)7200. Let x~ denote the mean price of a sample of new mobile homes.
a. For samples of size 50, find the mean and standard deviation of x¯. Interpret your results in words.
b. Repeat part (a) with n=100.

Short Answer

Expert verified

(a) The mean is $65,100and the standard deviation is$1018.2.

(b) The mean is $65,100 and the standard deviation is $720.

Step by step solution

01

Part (a) Step 1: Given information

To find the mean and the standard deviation for the sample size of 50. Where, the mean price of new mobile homes is $65,100and the standard deviation of $7200.

02

Part (a) Step 2: Explanation

The mean x¯indicates the price of a sample of new mobile homes.

The mean price of new mobile homes is $65,100. And the standard deviation is $7200.

So, μ=$65,100and σ=$7200.
Then the Size of the sample,n=50.
Mean of x¯,
μx¯=μ

μx¯=$65,100

Standard deviation of x¯,

σx¯=σn
=720050
=72007.071068
=1018.2
The mean and standard deviation of all possible samples mean prices for 50 new mobile homes are $65,100and $1018.2 respectively.

03

Part (b) Step 1: Given information

To find the mean and the standard deviation for the sample size of 100. Where, the mean price of new mobile homes is $65,100and the standard deviation of $7200.

04

Part (b) Step 2: Explanation

Standard deviation of x¯is σx¯=σn

Where the sample size is n=100.
Mean of x¯is:

μx¯=μ
μx=65,100
Then,

σx¯=σn
=7200100
=720010
=720
The mean and standard deviation of all possible samples mean prices for 100new mobile homes are$65,100and $720, respectively.

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Most popular questions from this chapter

A variable of a population has a mean of μ=100and a standard deviation ofσ=28.

a. Identify the sampling distribution of the sample mean for samples of size 49.

b.In answering part (a), what assumption did you make about the distribution of the variable?

c. Can you answer part (a) if the sample size is 16instead of 49?

Why or why not?

According to the U.S. Census Bureau publication Manufactured Housing Statistics, the mean price of new mobile homes is \(65,100. Assume a standard deviation of \)7200. Let x denoted the mean price of a sample of new mobile homes.

Part (a): For samples of size 50, find the mean and standard deviation of x. Interpret your results in words.

Part (b): Repeat part (a) with n=100.

Young Adults at Risk. Research by R. Pyhala et al. shows that young adults who were born prematurely with very low birth weights (below 1500 grams) have higher blood pressure than those born at term. The study can be found in the article. "Blood Pressure Responses to Physiological Stress in Young Adults with Very Low Birth Weight" (Pediatrics, Vol. 123, No, 2, pp. 731-734 ). The researchers found that systolic blood pressures, of young adults who were born prematurely with very low birth weights have mean 120.7 mm Hg and standard deviation 13.8 mm Hg.
a. Identify the population and variable.
b. For samples of 30 young adults who were born prematurely with very low birth weights, find the mean and standard deviation of all possible sample mean systolic blood pressures. Interpret your results in words.
c. Repeat part (b) for samples of size 90.

Refer to Exercise 7.6 on page 295.

a. Use your answers from Exercise 7.6(b) to determine the mean, μs, of the variable x¯for each of the possible sample sizes.

b. For each of the possible sample sizes, determine the mean, μs, of the variable x¯, using only your answer from Exercise 7.6(a).

A statistic is said to be an unbiased estimator of a parameter if the mean of all its possible values equals the parameter; otherwise, it is said to be a biased estimator. An unbiased estimator yields, on average, the correct value of the parameter, whereas a biased estimator does not.

Part (a): Is the sample mean an unbiased estimator of the population mean? Explain your answer.

Part (b): Is the sample median an unbiased estimator of the population mean? Explain your answer.

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