Refer to Exercise 7.4 on page 295.

a. Use your answers from Exercise 7.4(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 7.4(a).

Short Answer

Expert verified

Part a. The variable x¯has a mean value of μx¯=5for each of the possible sample sizes.

Part b. The population mean is μ=5.

Step by step solution

01

Part (a) Step 1. Given Information

It is given that the population data is 2,5,8.

We need to determine the mean, μs, of the variable x¯for each of the possible sample sizes.

02

Part (a) Step 2. When the sample size is 1

For the population data: 2,5,8.

The sample and sample mean for a sample of size n=1are shown in the table below.

Samplex¯
22
55
88

The variable x¯has the following mean

μx¯=2+5+83μx¯=153μx¯=5

So when the sample size is 1, the variable x¯has a mean μx¯=5.

03

Part (a) Step 3. When the sample size is 2

For the population data: 2,5,8.

The sample and sample mean for a sample of size n=2are shown in the table below.

Samplex¯
2,52+52=3.5
2,82+82=5
5,85+82=6.5

The variable x¯has the following mean

μx¯=3.5+5+6.53μx¯=153μx¯=5

So when the sample size is 2, the variable x¯has a mean μx¯=5.

04

Part (a) Step 4. When the sample size is 3

For the population data: 2.5.8.

The sample and sample mean for a sample of size n=3are shown in the table below.

Samplex¯
2,5,82+5+83=5

So when the sample size is 3, the variable x¯has a mean μx¯=5.

Thus it can be seen that the mean of all potential sample means is the same.

05

Part (b) Step 1. Find the population mean

For the given population data: 2,5,8, the population mean can be given as

μ=2+5+83μ=153μ=5

So from the results, it can be observed that the population mean is equal to the mean of all potential sample means that is μx¯=μ.

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Most popular questions from this chapter

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.

7.1 Why is sampling often preferable to conducting a census for the purpose of obtaining information about a population?

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).

The winner of the 2012-2013 National Basketball Association (NBA) championship was the Miami Heat, One possible starting lineup for that team is as follows:

Part (a): Find the population mean height of the five players.

Part (b): For samples of size 2, construct a table similar to Table 7.2 on page 293. Use the letter in parentheses after each player's name to represent each player.

Part (c): Draw a dotplot for the sampling distribution of the sample mean for samples of size 2.

Part (d): For a random sample of size2, what is the chance that the sample mean will equal the population mean?

Part (e): For a random sample of size 2, obtain the probability that the sampling error made in estimating the population mean by the sample mean will be1 inch or less; that is, determine the probability that x will be within1 inch of μ. Interpret your result in terms of percentages.

Why is obtaining the mean and standard deviation of x¯ a first step in approximating the sample distribution of the sample mean by a normal distribution?

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