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Population data: 1,2,3

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 2.

Part (b): When n=1,

When n=2,

When n=3,

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

Part (d): The probability that the sample mean will equal the population mean are 13,13,1.

Part (e): The probability that the sampling error made in estimating the population are13,1,1

Step by step solution

01

Part (a) Step 1. Given information

Consider the given question,

The population data is1,2,3.

02

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

The mean μis given below,

role="math" localid="1652542623098" μ=xiN=1+2+33=63=2

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,

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=2.

Hence, the probability that sample mean will be equal to population mean=13.

Similarly, the probability that sample mean will be equal to population mean for n=2is 13.

The probability that sample mean will be equal to population mean for n=3is 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=2is 1out of 3 for n is 1and 2.

For n=3, there is no dots are included in the sample mean x¯will be within 0.5or less of μ.

Hence, the probability that x¯will be within 0.5or less of μis for n=1,

=13

Similarly, the probability that x¯will be within 0.5or less of μfor n=2is 13.

And the probability thatx¯will be within0.5or less ofμforn=3is0.

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Most popular questions from this chapter

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~ ?

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?

Repeat parts (b)-(e) of Exercise 7.17 for samples of size 1.

7.35 Refer to Exercise 7.5 on page 295 .

a. Use your answers from Exercise 7.5(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, μ5, of the variable x¯, using only your answer from Exercise 7.5(a).

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

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 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.

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