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.