Start here.
- Data: open a CSV from your computer, paste from a spreadsheet, or pick a sample dataset. Bin, stack, simulate random data, or draw a random sample.
- Exploration: Descriptives, with the plots. Graph: bar, pie, histogram, dotplot, boxplot, stem and leaf, scatter, QQ, StatCrunch style, each with Group by.
- T-Tests, ANOVA, Regression, Frequencies: the menus and options the course instructions use, so they work as written. Every result adds the formula, the decision, the sentence to write, and a condition check.
- distrACTION: binomial, normal, t, chi-square and F, Poisson, geometric, hypergeometric, uniform, exponential and a custom discrete distribution (mean, SD and probabilities from x and P(x)), built in, nothing to install.
- Learn: demonstrations you can run in class. Coin flips and the law of large numbers, the Central Limit Theorem, what a confidence interval means, what a p-value is, mean versus median, regression influence, guess the correlation, plus the sampling distribution simulator, bootstrap, permutation and Bayesian updating.