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Chapter 1: Q 1.56. (page 23)

Ideally, in cluster sampling, each cluster should the entire population.

Short Answer

Expert verified

Ideally, in cluster sampling, each cluster should patternthe entire population.

Step by step solution

01

Step 1. Given information.

The given statement is:

Ideally, in cluster sampling, each cluster should the entire population.

02

Step 2. Fill in the given blank.

Cluster sampling is used whenever there is a large population spread out across a large area.

The population is then organized into clusters in this area. These resulted clusters have a similar trend to the general population.

A basic random sample of clusters is chosen in order to obtain a sample. A sample is comprised of all subjects from the chosen clusters.

Each cluster should ideally pattern the entire population when using cluster sampling.

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Most popular questions from this chapter

Regarding simple random sampling:

(a) What is simple random sampling?

(b) What is a simple random sample?

(c) Identify two forms of simple random sampling and explain the difference between the two.

In Exercises 1.7-1.12, classify each of the studies as either descriptive or inferential. Explain your answers.

Home Sales. Zillow.com is an online database that provides real estate information for U.S. homes that are for rent or sale. It also presents statistics on recently sold homes. The following table gives various information on all homes sold in several different cities across the United States for the month of September 2012.

Number of Farms.The National Agricultural Statistics Service (NASS) conducts studies of the number of acres devoted to farms in each county of the United States. Suppose that we divide the United States into the four census regions (Northeast, North Central, South, and West), take a simple random sample of counties from each of the four regions, and combine all four simple random samples into one sample. What type of sampling design have we used? Explain your answer.

Explain why a census is often not the best way to obtain information about a population.

In this section, we discussed two types of statistical designs. Identify and explain the meaning of each one.
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