Suppose that a random sample of size 1is to be taken from a finite population of size N.

a. How many possible samples are there?

b. Identify the relationship between the possible sample means and the possible observations of the variable under consideration.

c. What is the difference between taking a random sample of size 1from a population and selecting a member at random from the population?

Short Answer

Expert verified

(a) Because each of the population's Nunits might be a random sample, there are Npossible samples.

(b) The sample means are exactly equivalent to the variable under consideration's possible observation.

(c) There is no change because the sample mean of a random sample of size is equal to the sample's single sample observation.

Step by step solution

01

Part (a) Step 1: Given Information 

Given in the question that sample of size 1is to be taken from a finite population of size Nwe have to find the total possible samples are there.

02

Part (a) Step 2: Explanation 

We have to draw a random sample of size 1from the population.

Because each of the Npopulation units can be a random sample, there are Npossible samples.

03

Part (b) Step 1: Given Information 

Given in the question that sample of size 1is to be taken from a finite population of size Nwe have to find the relationship between the possible sample means and the possible observations of the variable under consideration.

04

Part (b) Step 2: Explanation 

Nothing except the sample observation since mean of a single value to that value in a sample of size 1.

therefore, The sample means are exactly equivalent to the variable under consideration's possible observation.

05

Part (c) Step 1: Given Information 

Given in the question that sample of size 1is to be taken from a finite population of size N we have to find the difference between taking a random sample of size 1 from a population and selecting a member at random from the population.

06

Part (c) Step 2: Explanation 

There is no change because the sample mean of a random sample of size is equal to the sample's single sample observation.

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Most popular questions from this chapter

New York City 10-kmRun. As reported by Rumле's World magazine, the times of the finishers in the New York City 10-km run are normally distributed with a mean of 61 minutes and a standard deviation of 9minutes. Do the following for the variable "finishing time61min of finishers in the New York City 10-kmrun.

a. Find the sampling distribution of the sample mean for samples of size 4

b. Repeat part (a) for samples of size 9

C. Construct graphs similar to those shown in Fig.7.4on-page 304

d. Obtain the percentage of all samples of four finishers that have mean finishing times within 5minutes of the population mean finishing time of 61 minutes. Interpret your answer in terms of sampling error.

e. Repeat part (d) for samples of size 9

7.54 Unbiased and Biased Estimators. 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.
a. Is the sample mean an unbiased estimator of the population mean? Explain your answer.
b. Is the sample median an unbiased estimator of the population median? (Hint: Refer to Example 7.2 on pages 292-293. Consider samples of size 2.)

Population data: 2,3,5,7,8

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 localid="1652592045497" 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.

Population data: 1,2,3,4,5,6

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 most 0.5.

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

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