Statistical Reasoning in Sports teaches students how to use the four-step statistical process: ask questions, collect data, analyze data, and make conclusions. Each unit begins with a sports-related statistical question (e.g., What’s more beneficial: hitting a golf ball long or hitting it straight?) then teaches the students how to collect the data, analyze the data, and how to make appropriate conclusions. Although many of the examples and exercises will be in a sports context, the primary focus of the class is to teach students the key principles of statistical reasoning. Each unit also contains a set of examples and exercises about other non-sports applications.
Major statistical topics include: proper methods of data collection (including sample surveys, observational studies, and experiments), analyzing distributions of univariate and bivariate data (both categorical and quantitative), using graphs and summary statistics, correlation and least squares regression, normal distributions, rules of probability (including conditional probability), the law of large numbers, the logic of significance testing (including stating hypotheses, calculating and interpreting p-values, drawing conclusions, and Type I and Type II errors), and using confidence intervals to estimate parameters.
Please note that this elective course does not meet graduation requirements for Mathematics.