Statistics
By Dr. Akash Garg, DC, MS, MBA, MEd · Updated October 20, 2026
Turn data into decisions you can defend. Free to read, practice and play, with no sign-up.
14chapters
13animated modules
70interactives
1game
See It: Statistics
Start watchingWatch it happen
See statistics happen: samples, curves and p-values you can watch. 13 animated walkthroughs, each with a hands-on lab. Pause, slow down or have it read aloud.
- 1Sampling and data
- 2Describing data: graphs, center and spread
- 3Probability
- 4Discrete random variables and the binomial
- 5The normal distribution and z-scores
- 6Sampling distributions and the Central Limit Theorem
- 7Confidence intervals
- 8Hypothesis testing with one sample
- 9Comparing two groups
- 10Chi-square tests
- 11Correlation and linear regression
- 12ANOVA: comparing many groups
- 13Statistics in health science: risk, odds and screening tests
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Chapters
- 1What Statistics IsDescriptive vs inferential, population vs sample, types of data & levels of measurement
- 2Sampling & Data CollectionRandom sampling methods, bias, observational studies vs experiments & design
- 3Displaying DataFrequency tables, bar charts, histograms, distribution shape & misleading graphs
- 4Center & SpreadMean, median & mode, standard deviation, the five-number summary, boxplots & z-scores
- 5Probability BasicsSample spaces, the addition & multiplication rules, conditional probability & two-way tables
- 6Discrete Random VariablesProbability distributions, expected value, the binomial, Poisson & geometric distributions
- 7The Normal DistributionThe bell curve, the empirical rule, the standard normal & finding probabilities
- 8Sampling Distributions & the CLTThe distribution of the sample mean, the Central Limit Theorem & standard error
Show all 14 chapters
- 9Confidence IntervalsInterval estimates for means & proportions, margin of error & what 95% really means
- 10The Logic of Hypothesis TestingH₀ and Hₑ, p-values, significance, Type I & II errors & practical significance
- 11One-Sample TestsThe five steps, z-tests & t-tests for a mean, tests for a proportion & assumptions
- 12Two-Sample TestsTwo independent means, paired samples, two proportions & choosing the right test
- 13Chi-Square & ANOVAGoodness of fit, tests of independence, one-way ANOVA & the F test
- 14Correlation & RegressionScatterplots, r, the least-squares line, r², residuals & the danger of extrapolation
Written by Dr. Akash Garg
Doctor of Chiropractic, MS in Pharmacology, MS in Management and Leadership, MBA, and MEd degrees in Chemistry, English, Higher Education and Learning Experience Design. Teaching college science since 2007.