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7.34 Refer to Exercise 7.4 on page 295.

a. Use your answers from Exercise 7.4(b) to determine the mean, μ5, of the variable x~ for each of the possible sample sizes.

b. For each of the possible sample sizes, determine the mean, μ5, of the variable x, using only your answer from Exercise 7.4(a).

Short Answer

Expert verified

a). The variable xhas a mean value of 5 (μx¯).

b). 5is the population average.

Step by step solution

01

Part (a) Step 1: Given Information

Data on the population:2,5,8.

02

Part (a) Step 2: Explanation

For the variable x, we have population data, which is 2,5,8.

The mean μx¯of the variable xfor each of the samples is calculated as follows:

The sample and sample mean for a sample of size n=1are shown in the table below.

Sample x
2 2
5 5
8 8

The variable xhas the following mean μx¯:

μx¯=2+5+83

=153

=5

The variable xhas a mean μx¯ of 5.

03

Part (a) Step 3: Explanation

The sample and sample mean for a sample of size n=2are shown in the table below.

Sample x
2,5 2+52=3.5
2,8 2+82=5
5,8 5+82=6.5

The variable xhas the following mean μx¯:

role="math" localid="1650970365589" μx¯=3.5+2+6.53

role="math" localid="1650970431300" =153

=5

The variable x has a mean value of 5 (μx¯).

04

Part (a) Step 4: Explanation

The sample and sample mean for a sample of size n=3are shown in the table below.

Sample x

2,5,8
2+5+83=5

Interpretation: We can see from the foregoing that the mean of all potential sample means is the same.

05

Part (b) Step 1: Given Information

Data on the population:2,5,8.

06

Part (b) Step 2: Explanation

The following is a definition of the population mean:

μ=xiN

=2+5+83

=5

5is the population average.

We can see that μ=5 based on the results of parts (a) and (b).

The population mean is equal to the mean of all feasible sample means.

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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.

Repeat parts (b)-(e) of Exercise 7.11 for samples of size 1.

7.46 Young Adults at Risk. Research by R. Pyhala et al. shows that young adults who were born prematurely with very low birth weights (below 1500grams) have higher blood pressure than those born at term. The study can be found in the article. "Blood Pressure Responses to Physiological Stress in Young Adults with Very Low Birth Weight" (Pediatrics, Vol. 123, No, 2, pp. 731-734). The researchers found that systolic blood pressures, of young adults who were born prematurely with very low birth weights have mean 120.7mmHgand standard deviation 13.8mmHg.
a. Identify the population and variable.
b. For samples of 30 young adults who were born prematurely with very low birth weights, find the mean and standard deviation of all possible sample mean systolic blood pressures. Interpret your results in words.
c. Repeat part (b) for samples of size 90 .

Population data: 2,3,5,5,7,8

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 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.

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.
a. On average, what would you expect to be the mean of the four times?
b. How much variation would you expect from your answer in part (a)? (Hint: Use the three-standard-deviations rule.)

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