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A statistic is said to be an unbiased estimator of a parameter if the mean of all its possible values equals the parameter; otherwise, it is said to be a biased estimator. An unbiased estimator yields, on average, the correct value of the parameter, whereas a biased estimator does not.

Part (a): Is the sample mean an unbiased estimator of the population mean? Explain your answer.

Part (b): Is the sample median an unbiased estimator of the population mean? Explain your answer.

Short Answer

Expert verified

Part (a): Yes, as mean of all possible sample means for a fixed sample size is equal to the population mean.

Part (b): Yes, sample median is an biased estimator of population median.

Mean of all possible sample median for sample size n, is not equal to the population median.

Step by step solution

01

Part (a) Step 1. Explain the answer.

Yes, sample mean is an unbiased estimator of the population mean. Since, mean of all possible sample means for a fixed sample size is equal to the population mean.

02

Part (b) Step 1. Explain the answer.

No, sample median is not an unbiased estimator of the population median.

Suppose the population consists of five players says A, B, C, D, Eand the variable under consideration is height of players in inches.

The table shows the height of the players,

Here, the total number of popuation observation is N=5, which is odd. The observations are in increasing order.

So, the population meanrole="math" localid="1652638307953" =N+12th observation

=5+12thobservation=3rdobservation=79

Therefore, the population mean is79inches.

03

Part (b) Step 2. Make a table considering samples of size 3 from the population.

Consider samples of size 3 from the population,


Number of possible samples of size 3 from the population of size 5 is 10.Then,

=78+78+78+79+79+81+79+79+81+8110=79310=79.3

Therefore, mean of all possible sample median for sample size 3, is not equal to the population median 79 inches. Thus, sample median is an biased estimator of population median.

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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?

Menopause in Mexico. In the article "Age at Menopause in Puebla. Mexico" (Human Biology, Vol. 75, No, 2, Pp. 205-206), authors L. Sievert and S. Hautaniemi compared the age of menopause for different populations. Menopause, the last menstrual period, is a universal phenomenon among females. According to the article, the mean age of menopause, surgical or natural, in Puebla, Mexico is 44.8 years with a standard deviation of 5.87 years. Letx¯ denote the mean age of menopause for a sample of females in Puebla, Mexico.
a. For samples of size 40, find the mean and standard deviation of x¯. Interpret your results in words.
b. Repeat part (a) with n=120.

Why is obtaining the mean and standard deviation of x¯ a first step in approximating the sample distribution of the sample mean by a normal distribution?

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

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