Population data: 1,2,3,4,5

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 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 most 0.5.

Short Answer

Expert verified

Part (a): The mean μis localid="1652557695017" 3.

Part (b): When n=1,

When localid="1652557697958" n=2,

When localid="1652558021926" n=3,

When localid="1652558026174" n=4,

When localid="1652558030268" n=5,

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

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

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

Step by step solution

01

Part (a) Step 1. Given information

Consider the given question,

The population data is 1,2,3,4,5.

02

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

The mean μis given below,

role="math" localid="1652556466666" μ=∑xiN=1+2+3+4+55=155=3

03

Part (b) Step 1. Construct a table.

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,

If the sample size taken n=3,

If the sample size taken n=4,

If the sample size taken n=5,

04

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,

05

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=3 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 when n is 2is210=15(As there are 2dots corresponding μ=3)

The probability that sample mean will be equal to population mean when nis3are 210=15(As there are 2dots corresponding μ=3)

We can observe that from dot plot there is one dot corresponding to μ=3 when nis 4.

The probability that sample mean will be equal to population mean when nis4=15

The probability that sample mean will be equal to population mean when nis5is 1.

06

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=3is data-custom-editor="chemistry" 1out of 5 when n is 1.

Hence, the probability that xwill be within 0.5or less of μis 15.

Number of dots within 0.5or less of μ=3is 6out of 10 when n is 2.

Hence, the probability that xwill be within 0.5or less of data-custom-editor="chemistry" μis 610=35.

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

Hence, the probability that xwill be within 0.5or less of μis role="math" localid="1652557460776" 610=35.

Number of dots within 0.5or less of μ=3is 5out of 5 when n is 4.

Hence, the probability that xwill be within 0.5or less of μis 55=1.

Number of dots within 0.5or less of μ=3is 1out of 1for n=5.

Hence, the probability that xwill be within 0.5 or less ofμis1.

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Most popular questions from this chapter

Population data: 1,2,3,4,5,6

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 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 most 0.5.

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.

Refer to Exercise 7.10on page 295.

a. Use your answers from Exercise 7.10(b)to determine the mean, μi, of the variable x^for each of the possible sample sizes.

b. For each of the possible sample sizes, determine the mean, μi+of the variable x^, using only your answer from Exercise 7.10(a)

Although, in general, you cannot know the sampling distribution of the sample mean exactly, by what distribution can you often approximate it?

Refer to Exercise 7.3 on page 295 .

a. Use your answers from Exercise 7.3(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, μi, of the variable x~, using only your answer from Exercise 7.3(a).

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