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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 .

Short Answer

Expert verified

(a) The population is comprised of all young individuals who were born prematurely and with extremely low birth weights, and the variable is systolic blood pressure.

(b) The mean and standard deviation of all possible sample systolic blood pressures are120.7mmHgand 2.52mmHg.

(c) The mean and standard deviation of all possible sample systolic blood pressures are 120.7mmHg and 1.45mmHg.

Step by step solution

01

Part (a) Step 1: Given information

To identify the population and variable. Note that 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.

02

Part (a) Step 2: Explanation

The population is identified by:

The population is made up of all of the people who are being studied.
In other terms, the population is defined as the collection of all individuals, items, or objects required for a certain study.
The participants in this study are young adults who were born prematurely and with extremely low birth weights.
As a result, the population consists entirely of young adults who were born prematurely and at extremely low birth weights.
The variable is identified by:
An property or a quality that may be measured is referred to as a variable.
Each unit's value for the variable may be different.
In other words, a variable is a trait that is recorded for each case.
The systolic pressure of young individuals was assessed in this investigation.
Systolic blood pressure clearly differs from person to person.
As a result, systolic blood pressure is the variable.

Therefore, the population is comprised of all young individuals who were born prematurely and with extremely low birth weights, and the variable is systolic blood pressure.

03

Part (b) Step 1: Given information

To determine the mean and standard deviation of all possible samples mean systolic blood pressures.

04

Part (b) Step 2: Explanation

The mean of all possible sample mean systolic blood pressures of sample size 30is (μx).
The mean (μ)for all young adults born preterm with very low birth weights is estimated to be120.7mmHg
μx=μ
=120.7
As a result, the average of all conceivable mean systolic blood pressures of sample size30is 120.7mmHg.

05

Part (b) Step 3: Explanation

The standard deviation σXof all possible sample mean systolic blood pressures of sample size nis 30. And the standard deviation μfor all young adults who were born preterm with extremely low birth weights is 13.8mmHg.

σX=σn

=13.830

=13.85.4772

=2.52

Therefore, all possible sample mean systolic blood pressures of sample size have a standard deviation of 2.52mmHg.

The mean and standard deviation of all possible sample systolic blood pressures for size 30 young people who were born preterm with very low birth weights are 120.7mmHgand 2.52mmHg, respectively.

06

Part (c) Step 1: Given information

To find the repeat part(b) for sample size 90.

07

Part (c) Step 2: Explanation

The mean of all possible sample mean systolic blood pressures of sample size 90is (μx) as:
μx=μ
=120.7
As a result, the mean (μx)of all sample mean systolic blood pressures of sample size 90is 120.7mmHg.
The standard deviation (σ)for all young people born preterm with very low birth weights is given to be 13.8mmHg.
σX=σn

=13.890

=1.45

Hence, the standard deviation σX of all possible sample mean systolic blood pressures of sample size is 1.45mmHg.

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Most popular questions from this chapter

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.

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

7.47 Baby Weight. The paper "Are Babies Normal?" by T. Clemons and M. Pagano (The American Statistician, Vol. 53, No, 4. pp. 298-302) focused on birth weights of babies. According to the article, the mean birth weight is3369 grams (7 pounds, 6.5 ounces) with a standard deviation of 581 grams.
a. Identify the population and variable.
b. For samples of size 200, find the mean and standard deviation of all possible sample mean weights.
c. Repeat part (b) for samples of size400.

In Example 7.5, we used the definition of the standard deviation of a variable to obtain the standard deviation of the heights of the five starting players on a men's basketball team and also the standard deviation of x for samples of sizes 1,2,3,4,5.The results are summarized in Table 7.6on page 298. Because the sampling is without replacement from a finite population, Equation (7.1) can also be used to obtain σx.

Part (a): Apply Equation (7.1) to compute σx for sample sizes of 1,2,3,4,5. Compare your answers with those in Table 7.6.

Part (b): Use the simpler formula, Equation (7.2) to compute σx for samples of sizes 1,2,3,4,5.Compare your answers with those in Table 7.6. Why does Equation (7.2)generally yield such poor approximations to the true values?

Part (c): What percentages of the population size are samples of sizes 1,2,3,4,5.

7.45 NBA Champs. Repeat parts (b) and (c) of Exercise 7.41for samples of size 5. For part (b). use your answer to Exercise 7.15(b).

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