This chapter introduces statistical inference and how it is used to make statements about population characteristics based on sample data. It discusses the differences between descriptive and inferential statistics, and how inferential statistics is used for estimation and hypothesis testing. It also explains key concepts like random sampling, sample statistics, population parameters, sampling distributions, sampling error, and how the central limit theorem allows inferring characteristics of the population from a sample as long as the sample size is at least 30.