After reading this chapter, you should be able to:

5.1 Describe how sampling works.

5.2 Explain what can be learned from a population sample and its limitations.

5.3 Explain why the sampling distribution is key to using inferential statistics.

5.4 Explain how probability samples create a representative sample for use in inference about the population.

5.5 Explore why nonprobability samples can be a satisfactory choice for some projects.