Basic Inferential Statistics for Psychology

This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and quantitative research methods along with high school students and professionals with similar interests. This course provides a comprehensive understanding of chi-square analyses of contingency tables, including when and how to use them, formulating appropriate hypotheses, and understanding their underlying logic and assumptions. Students will gain practical skills in conducting chi-square goodness-of-fit tests and tests of independence, as well as analyzing effect sizes. Table of Contents: The Frequency Tables and Chi-Square Test The Chi-Square Goodness-of-Fit Test The Chi-Square Test of Independence

This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and quantitative research methods along with high school students and professionals with similar interests. This course delves into the foundational concepts of probability and statistics, emphasizing the importance of random sampling and the normal distribution. Students will learn to apply statistical methods, including z-scores, effect size, and confidence intervals in the context of null hypothesis significance testing. The course also covers the implications of the central limit theorem and the relationship between statistical power and error types. Table of Contents: Probability and Distributions The Normal Distribution Sampling Distributions and the Central Limit Theorem The Logic of Null Hypothesis Significance Testing Null Hypothesis Significance Testing With the z-test Errors in Null Hypothesis Significance Testing Evaluating Statistical Significance Effect Size, Confidence Intervals, and Power