# LACC Chapter 7 Population and Sample Analysis

Chapter 7 Learning Goals (keep the following questions in mind as you read the chapter)

Indicate the population that a given sample might represent.

Define three sampling problems that lead to biased samples.

Explain why a random sample is more likely to be a representative sample and why representative samples have external validity to a particular population.

Explain five techniques for random sampling: simple random sampling, multistage sampling, cluster sampling, stratified random sampling, and oversampling.

Describe three techniques of nonrandom sampling: purposive sampling, convenience sampling, and snowball sampling.

Explain why representative samples may be especially important for many frequency claims.

1. Consider times when an unrepresentative sample may be appropriate for a frequency claim.
2. Explain why it is more important to ask how a sample was collected rather than how large it is.

Directions

1. DO NOT PLAGIARIZE!

Use the chapter reviews to help guide you through the reading. As you read, stop to paraphrase the definition of each of the following key terms.

Feel free to type your information in the Word document and upload it.

1. Make sure to rename it and save it to a flash drive, hard drive, or Google documents so you do not lose the information.

Chapter Seven Review

1. Define each of the terms. Write a definition in your own words.

Population

1. Sample

Census

1. Biased Sample

Convenience Sampling

Self-selection

Probability Sampling

Nonprobability Sampling

Simple Random Sampling

Cluster Sampling

Multistage Sampling

Stratified Random Sampling

Oversampling

Random Assignment

Purposive Sampling

Snowball Sampling

Quota Sampling

1. Review Questions
2. Imagine that you are planning to estimate the average book price at your college bookstore. The bookstore carries 13,000 titles, but you plan to sample 200 of them. You will select the books and record the price of each book. Based on this information, answer all of the following questions.
3. What is the sample in this study, and what is the population of interest?
4. How might you collect a simple random sample of books?
5. How might you collect a stratified random sample? (What would your strata be?)
6. How might you collect a convenience sample?
7. How might you collect a systematic random sample?
8. How might you collect a cluster sample?
9. How might you collect a quota sample?