Analyse GPS: Variance and Deviation

Covers Analysis of Variance (ANOVA) for assessing categorical variable effects on quantitative outcomes.

Discusses statistical measures of central tendency and dispersion, focusing on mean, median, and their implications in data analysis.

Explains statistical methods in quantitative analysis, emphasizing precision, accuracy, and sample representation.

Explains data dispersion, central tendency, variance, standard deviation, and Mean Square Error.

Introduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.