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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

Each years, Forbers magazine publishes a list of the richest people in the United States. As of September 16, 2013,the six richest Americans and their wealth (to the nearest billion dollars) are as shown in the following table. Consider these six people a population of interest.

Part (a): Calculate the mean wealth, μ, of the six people.

Part (b): For samples of size 2, construct a table similar to Table 7.2 on page 293. (There are 15 possible samples of size 2.)

Part (c): Draw a dotplot for the sampling distribution of the sample mean for samples of size 2.

Part (d): For a random sample of size2, what is the chance that the sample mean will equal the population mean?

Part (e): For a random sample of size 2, determine the probability that the mean wealth of the two people obtained will be within 3 of the population mean. Interpret your result in terms of percentages.

Does the sample size have an effect on the standard deviation of all possible sample means? Explain your answer.

Refer to Fig. 7.6on page 306 .

a. Why are the four graphs in Fig. 7.6(a) all centered at the same place?

b. Why does the spread of the graphs diminish with increasing sample size? How does this result affect the sampling error when you estimate a population mean, μby a sample mean, x~ ?

c. Why are the graphs in Fig. 7.6(a) bell shaped?

d. Why do the graphs in Figs. 7.6(b)and (c) become bell shaped as the sample size increases?

Does the sample size have an effect on the mean of all possible sample means? Explain your answer.

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