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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 is 3369 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 size 400.

Short Answer

Expert verified

Part a. The population includes the babies and the variable includes the birth weight of the babies.

Part b. The mean and standard deviation of all possible sample mean weights for samples of size 200 are 3369 grams and 41.08 grams.

Part c. The mean and standard deviation of all possible sample mean weights for samples of size 400 are 3369 grams and 29.05 grams.

Step by step solution

01

Part (a) Step 1. Given Information

It is given that the mean birth weight of the babies under study is 3369 grams with a standard deviation of 581 grams.

02

Part (a) Step 2. Identify the population and the variable 

The population, in this case, includes the babies whose birth weights are being measured.

In this case, the birth weight of the babies was measured. And also the birth weight varies from person to person. So the variable, in this case, is birth weight.

03

Part (b) Step 1. Find the mean for the sample 

We know that the sample mean of a sample is equal to the population mean irrespective of the sample size.

The population mean in this case is given as μ=3369grams.

So when the sample size includes 200babies then the sample mean would be the same as the population mean.

Thus the mean of all possible sample mean weights of sample size 200is 3369grams.

04

Part (b) Step 2. Find the standard deviation 

We know that the sample standard deviation of a sample is equal to the standard deviation of the variable under consideration divided by the square root of the sample size.

It is given that the standard deviation of the weights is σ=581grams.

So when the sample size is of 200babies then the standard deviation is given as

σx¯=σ200σx¯=581200σx¯41.08

Thus the standard deviation of all possible sample mean weights of sample size 200is41.08 grams.

05

Part (c) Step 1. Find the mean for the sample 

We know that the sample mean of a sample is equal to the population mean irrespective of the sample size.

The population mean in this case is given as μ=3369grams.

So when the sample size includes 400babies then the sample mean would be the same as the population mean.

Thus the mean of all possible sample mean weights of sample size 400is 3369grams.

06

Part (c) Step 2. Find the standard deviation 

We know that the sample standard deviation of a sample is equal to the standard deviation of the variable under consideration divided by the square root of the sample size.

It is given that the standard deviation of the weights is σ=581grams.

So when the sample size is of 400babies then the standard deviation is given as

σx¯=σ400σx¯=581400σx¯=29.05

Thus the standard deviation of all possible sample mean weights of sample size 400is 29.05grams.

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Most popular questions from this chapter

Young Adults at Risk. Research by R. Pyhala et al. shows that young adults who were born prematurely with very low birth weights (below 1500 grams) 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 120.7 mm Hg and standard deviation 13.8 mm Hg.
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.

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).

A variable of a population has a mean of μ=35and a standard deviation of σ=42.

a. If the variable is normally distributed, identify the sampling distribution of the sample mean for samples of size 9.

b. Can you answer part (a) if the distribution of the variable under consideration is unknown? Explain your answer.

c. Can you answer part (a) if the distribution of the variable under consideration is unknown but the sample size is 36instead of 9?

Why or why not?

7.35 Refer to Exercise 7.5 on page 295 .

a. Use your answers from Exercise 7.5(b) to determine the mean, μi. 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 7.5(a).

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

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