t-Tests for Comparing Means

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 statistical methods for comparing means, focusing on the t-test. Students will learn to conduct and interpret one-sample, paired-samples, and independent-samples t-tests, using raw data and summary statistics. The course also covers calculation and interpretation of effect sizes, confidence intervals, and statistical power. Table of Contents: The t-Statistic The The Varieties of t-Tests and When To Use Them The One-Sample t-Test The Paired-Samples t-Test The Independent-Samples t-Test

• Distinguish between z- and t-distributions and select appropriate tests
• Formulate hypotheses for mean differences and perform relevant tests
• Calculate and interpret t-tests, effect sizes, and confidence intervals using raw and summary data

• Basic computer and internet skills
• Ability to read course instructions in English
• Ability to complete short practical exercises