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7.43 NBA Champs. Repeat parts (b) and (c) of Exercise 7.41 for samples of size 3. For part (b), use your answer to Exercise 7.13(b).

Short Answer

Expert verified

The mean height (μx¯)for samples of size 3is 78.6.

Step by step solution

01

Given information

The samples from exercise 7.41 is:

02

Explanation

Determine the parts (b) of Exercise 7.41for samples of size 3. Calculate the mean height μx¯for samples of size 3 .
As a result, the size 3 samples and their means are obtained as given in the table below:

Sample size
Height
Mean(x)
B,W,J
83,76,80
83+76+893=79.67
B,W,C
83,76,74
83+76+743=77.67
B,W,H
83,76,80
83+76+803=79.67
B,J,C
83,80,74
83+80+743=79.00
B,J,H
83,80,80
83+80+803=81.00
B,C,H
83,74,80
83+74+803=79.00
W,J,C
76,80,74
76+80+743=76.67
W,J,H
76,80,80
76+80+803=78.67
W,C,H
76,74,80
76+74+803=76.67
J,C,H
80,74,80
80+74+803=78.00
03

Explanation

The number of possible samples (N)of size 3is 10. For samples of size 3 , as illustrated below, the mean of all potential sample means is calculated:
μx¯=∑x¯iN
=79.67+77.67+79.67+79+81+89+76.67+78.67+76.67+7810
=78610
=78.6

As a result, the mean height (μx¯)for samples of size 3is 78.6.

04

Explanation

Calculate the mean height (μx¯):
The average height of five players in the population is78.6 inches.
The population mean is equal to the mean of the sample mean.
That would be to:
μx=μ
=78.6
Therefore, the mean height μx¯for samples of size 3is 78.6.

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Most popular questions from this chapter

Explain why increasing the sample size tends to result in a smaller sampling error when a sample means is used to estimate a population mean.

Refer to Exercise 7.8 on page 295.

a. Use your answers from Exercise 7.8(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, μs, of the variable x¯, using only your answer from Exercise 7.8(a).

America's Richest. Explain what the dotplots in part (c) of exercise 7.17-7.22 illustrate about the impact of increasing sample size on sampling error.

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.

7.50 Undergraduate Binge Drinking. Alcohol consumption on college and university campuses has gained attention because undergraduate students drink significantly more than young adults who are not students. Researchers I. Balodis et al. studied binge drinking in undergraduates in the article "Binge Drinking in Undergraduates: Relationships with Gender, Drinking Behaviors, Impulsivity, and the Perceived Effects of Alcohol" (Behavioural Pharmacology, Vol. 20, No. 5. pp. 518-526). The researchers found that students who are binge drinkers drink many times a month with the span of each outing having a mean of 4.9hours and a standard deviation of 1.1 hours.
a. For samples of size 40, find the mean and standard deviation of all possible sample mean spans of binge drinking episodes. Interpret your results in words.
b. Repeat part (a) with n=120.

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