7.16 NBA Champs. This exercise requires that you have done Exercises 7.11-7.15.
a. Draw a graph similar to that shown in Fig. 7.3 on page 294for sample sizes of 1,2,3,4, and 5.
b. What does your graph in part (a) illustrate about the impact of increasing sample size on sampling error?
c. Construct a table similar to Table 7.4 on page 294 for some values of your choice.

Short Answer

Expert verified

(a) A graph for sample size of 1,2,3,4, and 5 as:

(b) It is clear as the sample size increases; there is decrease in the sampling error.

(c) A table similar to table 7.4 as:

Sample size
Number of samples
Number of samples within 1 of μ
Percentage of samples within 1 of μ
Number of samples within 2 of μ
Percentage of samples within 2 of μ
1
5
0
0
1
20
2
10
4
40
7
70
3
10
5
50
8
80
4
5
3
60
5
100
5
1
1
1
1
100

Step by step solution

01

Part (a) Step 1: Given information

To construct a graph that similar to the sample size of 1,2,3,4and 5.

02

Part (a) Step 2: Explanation

For the supplied population, use MINITAB to create dot plots for samples of size 1,2,3,4,and 5

MINITAB's procedure is as follows:

Step 1: Select Graph > Dotplot from the drop-down menu.

Step 2: Select Multiple Y's from the drop-down menu and click OK.

Step 3: In Graph variables, input columns ofn=1,n=2,n=3,n=4,n=5,

Step 4: Select OK.

MINITAB's output is as follows:

03

Part (b) Step 1: Given information

To illustrate the graph in part (a) about the impact of increasing sample size on sampling error.

04

Part (b) Step 2: Explanation

For five players, the average height(μ)is 78.6inches.

It is obvious from the MINITAB result in portion (a) that as the sample size grows, the sampling error decreases.
As a result, the sampling error has decreased.

05

Part (c) Step 1: Given information

To construct a table, that similar to table 7.4 for some values of own choice.

06

Part (c) Step 2: Explanation

Create a table with columns for the number of samples, the number of samples within 1of μ, the percentage of samples within 1of μ, the number of samples within2of μ, and the percentage of samples within2of μ.

Sample size
Number of samples
Number of samples within 1 of μ
Percentage of samples within 1 of μ
Number of samples within 2 of μ
Percentage of samples within 2 of μ
1
5
0
0
1
20
2
10
4
40
7
70
3
10
5
50
8
80
4
5
3
60
5
100
5
1
1
1
1
100

As a result, the table is generated.

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Most popular questions from this chapter

A variable of a population is normally distributed with mean μand standard deviation σ. For samples of size n, fill in the blanks. Justify your answers.

a. Approximately 68%of all possible samples have means that lie within of the population mean, μ

b. Approximately 95%of all possible samples have means that lie within of the population mean, μ

c. Approximately 99.7%of all possible samples have means that lie within of the population mean, μ

d. 100(1-α)%of all possible samples have means that lie within _of the population mean, μ(Hint: Draw a graph for the distribution of x, and determine the z-scores dividing the area under the normal curve into a middle 1-αarea and two outside areas ofα/2

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.

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.

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.

Worker Fatigue. A study by M. Chen et al. titled "Heat Stress Evaluation and Worker Fatigue in a Steel Plant (American Industrial Hygiene Association, Vol. 64. Pp. 352-359) assessed fatigue in steelplant workers due to heat stress. If the mean post-work heart rate for casting workers equals the normal resting heart rate of 72beats per minute (bpm), find the probability that a random sample of 29 casting workers will have a mean post-work heart rate exceeding 78.3bpm Assume that the population standard deviation of post-work heart rates for casting workers is 11.2 bpm. State any assumptions that you are making in solving this problem.

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