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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

A variable of a population is normally distribution with mean μand standard deviation σ.

a. Identify the distribution of x.

b. Does your answer to part (a) depend on the sample size? Explain your answer.

c. Identify the mean and the standard deviation of x.

d. Does your answer to part (c) depend on the assumption that the variable under consideration is normally distributed? Why or why not?

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).

The following graph shows the curve for a normally distributed variable. Superimposed are the curves for the sampling distributions of the sample mean for two different sample sizes.

a. Explain why all three curves are centered at the same place.

b. Which curve corresponds to the larger sample size? Explain your answer.

c. Why is the spread of each curve different?

d. Which of the two sampling-distribution curves corresponds to the sample size that will tend to produce less sampling error? Explain your answer.

c. Why are the two sampling-distribution curves normal curves?

As reported by the U.S. Census Bureau in Educational Attainment in the United States, the percentage of adults in each state who have completed a bachelor's degree is provided on the Weiss Stats site. Use the technology of you choice to solve the following problems.

Part (a): Obtain the standard deviation of the variable "percentage of adults who have completed a bachelor's degree" for the population of 50 states.

Part (b): Consider simple random samples without replacement from the population of 50 states. Strictly speaking, which is the correct formula for obtaining the standard deviation of the sample mean- Equation (7.1) or Equation (7.2)? Explain your answer.

Part (c): Referring to part (b), obtain R for simple random samples of size 30 by using both formulas. Why does Equation (7.2) provide such a poor estimate of the true value given by Equation (7.1)?

Part (d): Referring to part (b), obtain R for simple random samples of size 2 by using both formulas. Why does Equation (7.2) provide a somewhat reasonable estimate of the true value given by Equation (7.1)?

Ethanol Railroad Tariffs. An ethanol railroad tariff is a fee charged for shipments of ethanol on public railroads. The Agricultural Marketing Service publishes tariff rates for railroad-car shipments of ethanol in the Biofuel Transportation Database. Assuming that the standard deviation of such tariff rates is \(1,150, determine the probability that the mean tariff rate of 500randomly selected railroad car shipments of ethanol will be within \)100of the mean tariff rate of all railroad-car shipments of ethanol. Interpret your answer in terms of sampling error.

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