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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).

Short Answer

Expert verified

Part a. The variable x¯has a mean value of μx¯=5.5for each of the possible sample sizes.

Part b. The population mean is μ=5.5.

Step by step solution

01

Part (a) Step 1. Given Information  

It is given that the population data is 3,4,7,8.

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: 3,4,7,8.

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

Sample
x¯
33
44
77
88

The variable x¯has the following mean

μx¯=3+4+7+84μx¯=224μx¯=5.5

So when the sample size is 1, the variable x¯has a mean μx¯=5.5.

03

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

For the population data: 3,4,7,8.

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

Sample
x¯
3,43+42=3.5
3,73+72=5
3,83+82=5.5
4,74+72=5.5
4,84+82=6
7,87+82=7.5

The variable x¯has the following mean

μx¯=3.5+5+5.5+5.5+6+7.56μx¯=336μx¯=5.5

So when the sample size is 2, the variable x¯has a mean μx¯=5.5.

04

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

For the population data: 3,4,7,8.

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

Sample
x¯
3,4,73+4+73=4.67
3,4,83+4+83=5
3,7,83+7+83=6
4,7,84+7+83=6.33

The variable x¯has the following mean

μx¯=4.67+5+6+6.334μx¯=224μx¯=5.5

So when the sample size is 3, the variable x¯has a mean μx¯=5.5.

05

Part (a) Step 5. When the sample size is 4 

For the population data: 3,4,7,8.

The sample and sample mean for a sample of size n=4are shown in the table below.

Sample
x¯
3,4,7,83+4+7+84=5.5

So when the sample size is 4, the variablex¯has a mean μx¯=5.5.

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

06

Part (b) Step 1. Find the population mean 

For the given population data: 3,4,7,8 the population mean can be given as

μ=3+4+7+84μ=224μ=5.5

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

7.43 NBA Champs. Repeat parts (b) and (c) of Exercise 7.41 for samples of size 3. For part (b), use your answer to Exercise 7.13(b).

Consider simple random samples of size n without replacement from a population of size N.

Part (a): Show that if n0.05N,then0.97N-nN-11,

Part (b): Use part (a) to explain why there is little difference in the values provided by Equations (7.1)and (7.2)when the sample size is small relative to the population size- that is, when the size of the sample does not exceed 5% of the size of the population.

Part (c): Explain why the finite population correction factor can be ignored and the simpler formula, Equation (7.2), can be used when the sample size is small relative to the population size.

Part (d): The term N-n/N-1is known as the finite population correction factor. Can you explain why?

According to the central limit theorem, for a relatively large sample size, the variable x~is approximately normally distributed.

a. What rule of thumb is used for deciding whether the sample size is relatively large?

b. Roughly speaking, what property of the distribution of the variable under consideration determines how large the sample size must be for a normal distribution to provide an adequate approximation to the distribution of x~ ?

Repeat parts (b)-(e) of Exercise 7.11 for samples of size5.

A variable of a population has a mean of μ=100and a standard deviation ofσ=28.

a. Identify the sampling distribution of the sample mean for samples of size 49.

b.In answering part (a), what assumption did you make about the distribution of the variable?

c. Can you answer part (a) if the sample size is 16instead of 49?

Why or why not?

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