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

Provide two synonyms for the distribution of all possible sample means for samples of a given size.

Suppose that a sample is to be taken without replacement from a finite population of size Nif the sample size is the same as the population size

(a) How many possible samples are there?

(b) What are the possible sample means?

(c) What is the relationship between the only possible sample and the population

Population data: 3,4,7,8

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 most 0.5.

7.54 Unbiased and Biased Estimators. A statistic is said to be an unbiased estimator of a parameter if the mean of all its possible values equals the parameter. otherwise, it is said to be a biased estimator. An unbiased estimator yields, on average, the correct value of the parameter, whereas a biased estimator does not.
a. Is the sample mean an unbiased estimator of the population mean? Explain your answer.
b. Is the sample median an unbiased estimator of the population median? (Hint: Refer to Example 7.2 on pages 292-293. Consider samples of size 2.)

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

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