Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.
Covers the process of making pizza, sampling, averages, dispersion, residuals, and normal distribution.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Covers the central limit theorem, showing how random processes converge to a normal distribution.
