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Population data: 1,2,3,4.

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 238and 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 .

Part (b): When localid="1652554566396" n=1,

When localid="1652554568737" n=2,

When localid="1652554572723" n=3,

When localid="1652554575601" n=4,

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

Part (d): The probability that the sample mean will equal the population mean are 0,13,0,1.

Part (e): The probability that the sampling error made in estimating the population are12,23,1,1.

Step by step solution

01

Part (a) Step 1. Given information 

Consider the given question,

The population data is1,2,3,4.

02

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

The mean μis given below,

μ=xiN=1+2+3+44=104=2.5

03

Part (b) Step 1. Construct the 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,

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 no dot corresponding to μ=2.5 when n is 1.

Hence, the probability that sample mean will be equal to population mean=04=0

Similarly, the probability that sample mean will be equal to population mean for =26=13(As there are 2dots corresponding μ=2.5)

The probability that sample mean will equal to population mean for n=3is 1(As there are one dots corresponding μ=2.5)

06

Part (e) Step 1. Find the probability that sampling error made in estimating the population mean.

We need to find the probability that the sampling error made in estimating the population mean by the sample mean will be 0.5or less, that is the probability that xwill be within 0.5or less of μ.

Number of dots within 0.5or less of μ=2.5is 2out of 4for n=1.

Hence, the probability that xwill be within 0.5or less of μis 24=12.

Number of dots within 0.5or less of μ=2.5is 4out of role="math" localid="1652554136075" 6for n=2.

Hence, the probability that xwill be within 0.5or less of μis 44=1.

Number of dots within 0.5or less data-custom-editor="chemistry" μ=2.5is 4out of data-custom-editor="chemistry" 4for n=3.

Hence, the probability that x¯ will be within0.5or less ofμis1.

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Most popular questions from this chapter

America's Riches. Each year, Forbes magazine publishes a list of the richest people in the United States. As of September l6, 2013, the six richest Americans and their wealth (to the neatest billion dollars) are as shown in the following table. Consider these six people a population of interest.

(a) For sample size of 6construct a table similar to table 7.2 on page293 what is the relationship between the only possible sample here and the population?

(b) For a random sample of size 6determine the probability that themean wealth of the two people obtained will be within 3(i.e,3 billion) of the population mean. interpret your result in terms of percentages.

America's Riches. Each year, Forbes magazine publishes a list of the richest people in the United States. As of September l6, 2013, the six richest Americans and their wealth (to the neatest billion dollars) are as shown in the following table. Consider these six people a population of interest.

(a) For sample size of 5construct a table similar to table 7.2 on page293.(There are 6 possible sample) of size 5

(b) For a random sample of size 5determine the probability that themean wealth of the two people obtained will be within 3(i.e,3billion) of the population mean. interpret your result in terms of percentages.

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?

A variable of a population has a mean of μ=35and a standard deviation of σ=42.

a. If the variable is normally distributed, identify the sampling distribution of the sample mean for samples of size 9.

b. Can you answer part (a) if the distribution of the variable under consideration is unknown? Explain your answer.

c. Can you answer part (a) if the distribution of the variable under consideration is unknown but the sample size is 36instead of 9?

Why or why not?

Does the sample size have an effect on the mean of all possible sample means? Explain your answer.

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