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

Short Answer

Expert verified
  1. Part (b): Constructing the table of samples of size 5 of the given population is given below,


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


Part (d): The chance that sample mean is equal to population mean is 1.

Part (e): The probability that x is within 1 inch of μis 1.

On interpreting, there is 100% change that the mean height of the four players selected will be within 1 inch of the population mean.

Step by step solution

01

Part (b) Step 1. Given information

Consider the given question,

02

Part (b) Step 2. Construct samples of size 5 of the given population.

The samples of size 5 and the corresponding means are obtained,

Here, Chrish Bosh by B, Dwyane Wade by W, LeBron James by J, Mario Chalmers by C and Udonis Haslem H.

03

Part (c) Step 1. Construct the dot plot.

On constructing the dot plot for the sampling distribution of the sample mean,

04

Part (d) Step 1. Find the chance that the sample mean will equal the population mean.

Consider the previous question,

The population mean height for five players is 7.86inches.

From table obtained in part (b), it is clear that none of the sample means are equal to the population mean. Also, number of samples of size 5is 1.

Px=μ=11=1

05

Part (e) Step 1. Find the probability that xwill be within 1 inch of μ.

We need to find the Pμ-1xμ+1.

From the table obtained in part (b), it is clear that none of the sample means are within 1 inch of the population mean.

Pμ-1xμ+1=P(78.6-1x78.6+1)=P(77.6x79.6)=11=1

On interpreting, we can say that there is 100%change that the mean height of the four players selected will be within 1 inch of the population mean.

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Most popular questions from this chapter

7.2 Why should you generally expect some error when estimating a parameter (e.g., a population mean) by a statistic (e.g., a sample mean)? What is this kind of error called?

Teacher Salaries. Data on salaries in the public school system are published annually in Ranking of the States and Estimates of School Statistics by the National Education Association. The mean annual salary of (public) classroom teachers is \(55.4thousand. Assume a standard deviation of \)9.2thousand. Do the following tasks for the variable "annual salary" of classroom teachers.

a. Determine the sampling distribution of the sample mean for samples of size 64Interpret your answer in terms of the distribution of all possible sample mean salaries for samples of 64classroom teachers.

b. Repeat part (a) for samples of size256

c. Do you need to assume that classroom teacher salaries are normally distributed to answer parts (a) and (b)? Explain your answer.

d. What is the probability that the sampling error made in estimating the population means salary of all classroom teachers by the mean salary of a sample of 64classroom teachers will be at most \(1000?

e. Repeat part (d) for samples of size\)256

Refer to Exercise 7.3 on page 295 .

a. Use your answers from Exercise 7.3(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, μi, of the variable x~, using only your answer from Exercise 7.3(a).

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a. Using units of millions of dollars, determine the sampling distribution of the sample mean for samples of size 200 . Interpret your result.

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c. Why can you still answer parts (a) and (b) when the distribution of loan amounts is not normal, but rather right skewed?

d. What is the probability that the sampling error made in estimating the population mean loan amount by the mean loan amount of a simple random sample of 200 loans will be at most $1 million?

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7.51 Earthquakes. According to The Earth: Structure, Composition and Evolution (The Open University, S237), for earthquakes with a magnitude of 7.5or greater on the Richter scale, the time between successive earthquakes has a mean of 437days and a standard deviation of 399days. Suppose that you observe a sample of four times between successive earthquakes that have a magnitude of 7.5 or greater on the Richter scale.
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