Statistics for Data Analysis
A lightweight execution-visualization book.
Central Tendency
Arithmetic Mean
Median Search
Mode Frequency
Weighted Mean
Variation
Sample Variance
Standard Deviation
Mean Absolute Deviation
Z-Scores
Percentiles and Spread
Median and Quartiles
Interquartile Range
Five-Number Summary
Percentile Rank
Relationships
Covariance By Hand
Pearson Correlation
Spearman Rank Correlation
Correlation Matrix (Small)
Distributions
Binomial Probability
Poisson Probability
Normal PDF at a Point
Discrete CDF
Sampling and Estimation
Seeded Sample Mean
Standard Error
Bootstrap Mean (Small)
Confidence Interval for the Mean
Hypothesis Tests
One-Sample t Statistic
Two-Sample t Statistic (Pooled)
Chi-Square Goodness-of-Fit Statistic
One-Proportion z Statistic
Regression
Least-Squares Line
Predict from Line
Residuals and SSE
R-Squared
Real Data Case Studies
One-Way ANOVA on Real Defect-Rate Data
Kaplan-Meier Survival and the Log-Rank Test on Real Failure Times
Seeded Bootstrap Confidence Interval on a Real Sample
Correlation and a Naive Regression on Retail Sales
Regression Diagnostics