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Population data: 2,3,5,7,8

Part (a): Find the mean, μ, of the variable.

Part (b): For each of the possible sample sizes, construct a table similar to Table 7.2on the page localid="1652592045497" 293and draw a dotplot for the sampling for the sampling distribution of the sample mean similar to Fig 7.1on page 293.

Part (c): Construct a graph similar to Fig 7.3and interpret your results.

Part (d): For each of the possible sample sizes, find the probability that the sample mean will equal the population mean.

Part (e): For each of the possible sample sizes, find the probability that the sampling error made in estimating the population mean by the sample mean will be 0.5or less, that is, that the absolute value of the difference between the sample mean and the population mean is at most0.5.

Short Answer

Expert verified

Part (a): The mean μis localid="1652594499214" 5.

Part (b): When localid="1652594497246" n=1,

When localid="1652594501117" n=2,

When localid="1652594503305" n=3,

When localid="1652594506601" n=4,

When localid="1652594509957" n=5,

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

Part (d): The probability that the sample mean will equal the population mean are localid="1652594487978" 1,15,15,15,1.

Part (e): The probability that the sampling error made in estimating the population are15,25,35,45,1.

Step by step solution

01

Part (a) Step 1. Given information

Consider the given question,

The population data is2,3,5,7,8.

02

Part (a) Step 2. Find the mean of the variable.

The mean μis given below,

μ=∑xiN=2+3+5+7+85=255=5

03

Part (b) Step 1. Construct a table for n=1,2.

For each of the possible sample sizes, we construct a table.

If the sample size taken n=1,

If the sample size taken n=2,

04

Part (b) Step 2. Construct a table for n=3,4,5.

If the sample size taken n=3,

If the sample size taken n=4,

If the sample size taken n=5,

05

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

We will construct the dot plot for the sampling distribution of the sample mean.

To construct dot plot for the sampling distribution of the sample mean,


06

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

We can observe that from the dot plot there is one dot corresponding to μ=5 when n is 1.

Hence, the probability that sample mean will be equal to population mean=15.

Similarly, the probability that sample mean will be equal to population mean whennislocalid="1652594432269" 2is =210=15(As there are 2dots corresponding μ=5)

We can observe that from the dot plot there is one dot corresponding to μ=5 when n is 4.

The probability that sample mean will be equal to population mean forlocalid="1652593799606" n=4is localid="1652593789207" 15.

The probability that sample mean will be equal to population mean for localid="1652593783763" n=5is1.

07

Part (e) Step 1. Find the probability that sampling error made in estimating the population mean.

Number of dots within 0.5or less of μ=5is 1out of 5 when n is 1.

Hence, the probability that xwill be within 0.5or less of μis role="math" localid="1652593881183" 15.

Number of dots within 0.5or less of μ=5is 4out of 10 when n is 2.

Hence, the probability that xwill be within 0.5or less of μis 410=25.

Number of dots within 0.5or less of μ=5is 6out of 10 when n is 3.

Hence, the probability that xwill be within 0.5or less of μis 610=35.

Number of dots within 0.5or less of μ=5is 4out of 5 when n is 4.

Hence, the probability that xwill be within 0.5or less of μis 45.

Number of dots within 0.5or less of μ=5is role="math" localid="1652594094735" 1out of 1 when n is 5.

Hence, the probability that xwill be within 0.5or less of μis11=1.

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Most popular questions from this chapter

Does the sample size have an effect on the mean of all possible sample means? Explain your answer.

In Example 7.5, we used the definition of the standard deviation of a variable to obtain the standard deviation of the heights of the five starting players on a men's basketball team and also the standard deviation of x for samples of sizes 1,2,3,4,5.The results are summarized in Table 7.6on page 298. Because the sampling is without replacement from a finite population, Equation (7.1) can also be used to obtain σx.

Part (a): Apply Equation (7.1) to compute σx for sample sizes of 1,2,3,4,5. Compare your answers with those in Table 7.6.

Part (b): Use the simpler formula, Equation (7.2) to compute σx for samples of sizes 1,2,3,4,5.Compare your answers with those in Table 7.6. Why does Equation (7.2)generally yield such poor approximations to the true values?

Part (c): What percentages of the population size are samples of sizes 1,2,3,4,5.

7.48 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 44.8years with a standard deviation of 5.87years. Let x~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.

7.2 Why should you generally expect some error when estimating a parameter (e.g., a population mean) by a statistic (e.g., a sample mean)? What is this kind of error called?

Does the sample size have an effect on the standard deviation of all possible sample means? Explain your answer.

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