This chapter explores inferential statistics, focusing on concepts such as confidence intervals, hypothesis testing, and errors in statistical inference. It emphasizes the importance of understanding ...This chapter explores inferential statistics, focusing on concepts such as confidence intervals, hypothesis testing, and errors in statistical inference. It emphasizes the importance of understanding sampling variations and discusses tests like t-tests and chi-square tests. It also touches on the misuse of statistics in scientific racism, emphasizing the need for socially just statistical methods. The chapter links statistical inference to broader societal issues.
This page discusses probability concepts such as independent and dependent events, including definitions and examples of sampling with and without replacement. It emphasizes the importance of mutual e...This page discusses probability concepts such as independent and dependent events, including definitions and examples of sampling with and without replacement. It emphasizes the importance of mutual exclusivity, illustrated by coin flips. Key topics include calculating joint and conditional probabilities, checking independence, and the relationships between events using practical examples.
Sampling is the means by which sample data is collected, and it plays a significant role in inferential statistics. There are many ways to sample; some are better than others.
