PSYC 200

This study guide focuses on statistical concepts related to hypothesis testing and analysis of variance (ANOVA). It discusses the importance of understanding different types of errors, such as Type I and Type II errors, and the trade-off between them. The guide also addresses the issue of "p-hacking," where the choice of statistical analyses is based on achieving significant results rather than following a pre-determined plan. It then introduces linear regression as a tool for making predictio...

This study guide provides an introduction to statistical concepts and their application in hypothesis testing and data analysis. It covers key terms such as variables, hypothesis testing, and different types of visualizations for data presentation. The guide explains how to calculate and interpret various measures of central tendency, dispersion, and transformation. It also introduces the concept of sampling distributions and confidence intervals, emphasizing the distinction between descriptive ...