Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.
Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.
Covers likelihood ratio statistic, confidence intervals, and hypothesis testing concepts.
Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Explores ANOVA, moderation, and statistical analysis methods in digital education, emphasizing their significance in educational research.
Introduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.
