Statistics
Statistics splits into four practical areas: probability and odds (lottery, coin flips, combinations), descriptive statistics (standard deviation, outliers, midrange), and inference and regression (z-scores, p-values, linear regression). Each subcategory targets a different stage of working with data.
Categories in Statistics
Descriptive Statistics
A data set doesn't summarize itself. Standard deviation of a sample mean, outlier detection, midrange, minimum and maximum, and mean squared error are worked out here, built for a stats course rather than a production data pipeline.
Inference & Regression
Once you're drawing conclusions from a sample rather than just describing it, this is where the math lives: z-scores, p-values, margin of error, and linear regression.
Probability & Odds
Coin flip outcomes, lottery odds, joint probability of independent events, and combinations make up this subcategory, useful both for coursework and for sanity-checking real-world odds like a specific lottery draw.