Statistics
All modules
Read the lesson, follow the worked examples, then practice.
Descriptive Statistics
Measures of center, spread, shape, and data visualization.
60 min
Foundations of Probability
Sample spaces, probability rules, conditional probability, and Bayes' theorem.
75 min
Discrete Probability Distributions
Random variables, PMFs, expected value, binomial, Poisson, and geometric distributions.
75 min
Continuous Probability Distributions
PDFs, CDFs, normal, exponential, and uniform distributions.
75 min
Sampling and Data Distributions
Population vs. sample, law of large numbers, central limit theorem, and sampling distributions.
60 min
Statistical Inference: Estimation
Point estimation, maximum likelihood estimation, and confidence intervals.
75 min
Statistical Inference: Hypothesis Testing
Null and alternative hypotheses, p-values, Type I/II errors, and t-tests.
90 min
Analysis of Variance
One-way ANOVA, the F-test, multiple comparisons, and two-way ANOVA.
75 min
Linear Regression and Correlation
Pearson correlation, OLS regression, residuals, and inference for coefficients.
75 min
Non-Parametric Statistics
Chi-square tests, Mann-Whitney U, and Wilcoxon signed-rank tests.
60 min