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A newborn baby has extremely low birth weight (ELBW) if it weighs less than 1000 grams. A study of the health of such children in later years examined a random sample of 219 children. Their mean weight at birth was x-x¯=810grams. This sample mean is an unbiased estimator of the mean weight μ in the population of all ELBW babies, which means that

a. in all possible samples of size 219 from this population, the mean of the values of x-x¯will equal 810 .

b. in all possible samples of size 219 from this population, the mean of the values of x-x¯will equal μ

c. as we take larger and larger samples from this population, x-x¯will get closer and closer to μ.

d. in all possible samples of size 219 from this population, the values of x-x¯will have a distribution that is close to Normal.

e. the person measuring the children's weights does so without any error.

Short Answer

Expert verified

(b). The mean of the values of in all feasible samples of size 219 from this population x-x¯will equal μ.

Step by step solution

01

Given Information

Given,

x¯=810n=219

02

Explanation for correct option

For all conceivable samples of size n, this indicates that the population mean is equal to the average sample mean.

As a result, the most effective option is (b)

03

Explanation for incorrect option

a. in all possible samples of size 219 from this population, the mean of the values of x-x¯will equal 810 is not the answer.

c. as we take larger and larger samples from this population, x-x¯will get closer and closer to μis not the answer.

d. in all possible samples of size 219 from this population, the values of x-x¯will have a distribution that is close to Normal is not the answer.

e. the person measuring the children's weights does so without any error is not the answer.

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Most popular questions from this chapter

What does the CLT say? Asked what the central limit theorem says, a student replies, "As you take larger and larger samples from a population, the variability of the sampling distribution of the sample mean decreases." Is the student right? Explain your answer.

The candy machine Suppose a large candy machine has 45%orange candies, Use Figures 7.11and7.12(page 434) to help answer the following questions.

(a) Would you be surprised if a sample of 25candies from the machine contained 8orange candies (that's 32%orange)? How about 5orange candies ( 20%orange)? Explain.

(b) Which is more surprising getting a sample of 25candies in which 32%are orange or getting a sample of 50candies in which 32%are orange? Explain.

David’s iPod has about 10,000songs. The distribution of the play times for these songs is heavily skewed to the right with a mean of 225seconds and a standard deviation of 60seconds.

a. Describe the shape of the sampling distribution of xfor SRSs of size n=5from the population of songs on David’s iPod. Justify your answer.

b. Describe the shape of the sampling distribution of x for SRSs of size n=100 from the population of songs on David’s iPod. Justify your answer.

Which of the following statements about the sampling distribution of the sample mean is incorrect?

a. The standard deviation of the sampling distribution will decrease as the sample size increases.

b. The standard deviation of the sampling distribution measures how far the sample mean typically varies from the population mean.

c. The sample mean is an unbiased estimator of the population mean.

d. The sampling distribution shows how the sample mean is distributed around the population mean.

e. The sampling distribution shows how the sample is distributed around the sample mean.

Sample minimums List all 6possible SRSS of size n=2, calculate the minimum age for each sample, and display the sampling distribution of the sample minimum on a dotplot. Is the sample minimum an unbiased estimator of the population minimum? Explain your answer.

COLORAGE
RED1
WHITE5
SILVER8
RED20
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