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t-Tests of Hypotheses About Means

This course is part of Basic Inferential Statistics for Psychology Specialization

Instructor: Mike Stadler, PhD

What you'll learn

Compare and contrast z- and t-distributions, and determine the appropriate test for various research situations.

Develop and generate hypotheses for differences between means and conduct the corresponding tests.

Calculate and interpret t-tests, effect sizes, and confidence intervals from raw data and summary statistics.

Skills you'll gain

Data Analysis

Sample Size Determination

Psychology

Research Design

Statistical Hypothesis Testing

Quantitative Research

Probability & Statistics

Statistical Inference

Statistical Methods

Probability Distribution

Statistical Analysis

Statistics

There are 7 modules in this course

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

PsycLearn Essentials APA Student Resources

The t-Statistic

One-Sample t-Test

Paired-Samples t-Test

Independent-Samples t-Test

Conclusion

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