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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.

Short Answer

Expert verified

Part (a): The mean μis localid="1652556169048" 5.5.

Part (b): When localid="1652556171298" μ=1,

When localid="1652556173535" μ=2,

When localid="1652556175766" μ=3,

When localid="1652556179742" 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 are0,13,0.75,1.

Step by step solution

01

Part (a) Step 1. Given information

Consider the given question,

The population data is3,4,7,8.

02

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

The mean μis given below,

μ=xiN=3+4+7+84=224=5.5

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,

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 when n is role="math" localid="1652555359237" 2is =26=13(As there are 2dots corresponding μ=5.5)

The probability that sample mean will be equal to population mean when n=3is =04=0(As there is no dot corresponding μ=5.5)

The probability that sample mean will be equal to population mean when nis 4is1.

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=5.5is 0out of 4 for n is 1.

Hence, the probability that xwill be within 0.5or less of μis 04=0.

Number of dots within 0.5or less of data-custom-editor="chemistry" μ=5.5is 4out of 6 for n is 2.

Hence, the probability that x¯will be within 0.5or less of μis 26=13.

Number of dots within data-custom-editor="chemistry" 0.5or less of μ=5.5is 4out of 4 for n is 3.

Hence, the probability that x¯will be within 0.5or less of μis 34=0.75.

Number of dots within 0.5or less of μ=5.5is 1out of 1 when n is 3.

Hence, the probability thatxwill be within0.5or less ofμis11=1.

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Most popular questions from this chapter

Testing for Content Accuracy. A brand of water-softener salt comes in packages marked "net weight 40lb." The company that packages the salt claims that the bags contain an average of 40lbof salt and that the standard deviation of the weights is 1.5lbAssume that the weights are normally distributed.

a. Obtain the probability that the weight of one randomly selected bag of water-softener salt will be 39lb or less, if the company's claim is true.

b. Determine the probability that the mean weight of 10 randomly selected bags of water-softener salt will be 39lb or less, if the company's claim is true.

c. If you bought one bag of water-softener salt and it weighed 39lb, would you consider this evidence that the company's claim is incorrect? Explain your answer.

d. If you bought 10 bags of water-softener salt and their mean weight was 39lb, would you consider this evidence that the company's claim is incorrect? Explain your answer.

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.

As reported by the U.S. Census Bureau in Educational Attainment in the United States, the percentage of adults in each state who have completed a bachelor's degree is provided on the Weiss Stats site. Use the technology of you choice to solve the following problems.

Part (a): Obtain the standard deviation of the variable "percentage of adults who have completed a bachelor's degree" for the population of 50 states.

Part (b): Consider simple random samples without replacement from the population of 50 states. Strictly speaking, which is the correct formula for obtaining the standard deviation of the sample mean- Equation (7.1) or Equation (7.2)? Explain your answer.

Part (c): Referring to part (b), obtain R for simple random samples of size 30 by using both formulas. Why does Equation (7.2) provide such a poor estimate of the true value given by Equation (7.1)?

Part (d): Referring to part (b), obtain R for simple random samples of size 2 by using both formulas. Why does Equation (7.2) provide a somewhat reasonable estimate of the true value given by Equation (7.1)?

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?

You have seen that the larger the sample size, the smaller the sampling error tends to be in estimating a population means by a sample mean. This fact is reflected mathematically by the formula for the standard deviation of the sample mean: σi=σ/n. For a fixed sample size, explain what this formula implies about the relationship between the population standard deviation and sampling error.

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