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Repeat parts (b)-(e) of Exercise 7.11 for samples of size3.

Short Answer

Expert verified

Part (b): Constructing the table of samples of size 1 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 0.

Part (e): The probability that x is within 1 inch of μis localid="1652609280028" 0.5.

Step by step solution

01

Part (b) Step 1. Given information

Consider the given question,

02

Part (b) Step 2. Construct samples of size 3 of the given population.

The samples of size 3 and the corresponding means are obtained,

Here, Chrish Bosh is represented by B, Dwyane Wade is represented by W, LeBron James is represented by J, Mario Chalmers is represented by C and Udonis Haslem is represented by 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 78.6inches.

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 3is 10.

Px=μ=010=0

05

Part (e) Step 1. Find the probability that xwill be within 3 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 3 inch of the population mean.

Pμ-1xμ+1=P(78.6-1x78.6+1)=P(77.6x79.6)=510=0.5

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Most popular questions from this chapter

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.

Although, in general, you cannot know the sampling distribution of the sample mean exactly, by what distribution can you often approximate it ?

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

The winner of the 2012-2013 National Basketball Association (NBA) championship was the Miami Heat, One possible starting lineup for that team is as follows:

Part (a): Find the population mean height of the five players.

Part (b): For samples of size 2, construct a table similar to Table 7.2 on page 293. Use the letter in parentheses after each player's name to represent each player.

Part (c): Draw a dotplot for the sampling distribution of the sample mean for samples of size 2.

Part (d): For a random sample of size2, what is the chance that the sample mean will equal the population mean?

Part (e): For a random sample of size 2, obtain the probability that the sampling error made in estimating the population mean by the sample mean will be1 inch or less; that is, determine the probability that x will be within1 inch of μ. Interpret your result in terms of percentages.

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

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