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Repeat parts (b)-(e) of Exercise 7.17 for samples of size 1.

Short Answer

Expert verified

Part (b): On constructing the sample of size 1 for the given population is given below,


Part (c): The dot plot is given below,


Part (d): The chance that sample mean is equal to population mean is .

Part (e): The probability that xis within 3billion of μis 0.

There is 0% change that the mean wealth of one person will be within 3billion of the population mean.

Step by step solution

01

Part (b) Step 1. Given information.

Consider the given question,

02

Part (b) Step 2. Construct samples of size 1 of the given population.

The samples of size 1 and the corresponding means is given below,

Here, Bill Gates is represented by G, Warren Buffett is represented by B, Larry Ellison is represented by E, Charles Koch is represented by C, David Koch is represented by D and Chris Walton is represented by W.

03

Part (c) Step 1. Construct the dot plot.

On constructing the dot plot for the sampling distribution of the sample mean,

04

Part (d) Step 1. Find the chance that the sample mean will equal the population mean.

The population mean wealth for six people is 46.5 billion.

Consider the table in part (b), it is clear that none of the sample means is equal to the population mean. Also, number of samples size 2 is 15.

Px=μ=06=0

05

Part (e) Step 1. Find the probability that x is within 3  billion of μ.

We need to find the Pμ-3xμ+3.

From the table obtained in part (b), it is clear that there are none sample means is equal to the population mean.

role="math" localid="1652612575626" Pμ-3xμ+3=P(46.5-3x46.5+3)=P(43.x49.5)=015=0

On interpreting, we can say that there is 0% change that the mean wealth of one person will be within 3billion of the population mean.

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Most popular questions from this chapter

7.54 Unbiased and Biased Estimators. 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.
a. Is the sample mean an unbiased estimator of the population mean? Explain your answer.
b. Is the sample median an unbiased estimator of the population median? (Hint: Refer to Example 7.2 on pages 292-293. Consider samples of size 2.)

Menopause in Mexico. In the article "Age at Menopause in Puebla. Mexico" (Human Biology, Vol. 75, No, 2, Pp. 205-206), authors L. Sievert and S. Hautaniemi compared the age of menopause for different populations. Menopause, the last menstrual period, is a universal phenomenon among females. According to the article, the mean age of menopause, surgical or natural, in Puebla, Mexico is 44.8 years with a standard deviation of 5.87 years. Letx¯ denote the mean age of menopause for a sample of females in Puebla, Mexico.
a. For samples of size 40, find the mean and standard deviation of x¯. Interpret your results in words.
b. Repeat part (a) with n=120.

Suppose that a simple random sample is taken without replacement from a finite population of size N.

Part (a): Show mathematically that Equations (7.1) and (7.2) are identical for samples of size 1.

Part (b): Explain in words why part (a) is true.

Part (c): Without doing any computations, determine r for samples of size N without replacement. Explain your reasoning.

Part (d): Use Equation(7.1) to verify your answer in part (c).

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).

NBA Champs Repeat parts (b) and (c) of Exercise 7.41 for samples of size 5. For part (b), use your answer to Exercise 7.15(b).

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