statisticshowto.com
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Statistics How To is a practical statistics learning site that explains core concepts with clear, step-by-step tutorials and worked examples. It covers hypothesis testing (including p-values and test types) along with a wide range of other stats topics and handy calculators.
More resources on Hypothesis Testing
StatQuest with Josh Starmer
StatQuest offers engaging and easy-to-understand video tutorials on various statistical and machine learning concepts. Josh Starmer's explanations are highly visual and intuitive, making complex topics like hypothesis testing, p-values, and different statistical tests accessible to beginners.
OpenIntro Statistics
OpenIntro Statistics is a widely acclaimed, free, and open-source textbook that provides a comprehensive introduction to statistics. It covers all fundamental concepts including descriptive statistics, probability, inference, and extensively details hypothesis testing with practical examples and clear explanations. It's often used in introductory college-level statistics courses.
stattrek.com
StatTrek is an online statistics resource that provides clear tutorials and explanations of probability and statistics. It also features free calculators for distributions, hypothesis tests, confidence intervals, and other statistical methods.
An Introduction to Statistical Learning
Accessible introduction to statistical learning covering linear regression, classification, resampling, regularization, trees, and support vector machines, with R labs. Readers finish able to fit and evaluate standard predictive models without heavy theory.
Fat Chance: Probability from the Ground Up
A HarvardX introductory course that builds probability from counting principles: permutations, combinations, the binomial distribution, expected value, conditional probability, and the normal approximation. Learners develop the quantitative reasoning to calculate probabilities and assess risk in everyday and applied settings.
Hypothesis Testing
Statistician Jim Frost's plain-language guide covering t-tests, ANOVA, chi-square, proportion and nonparametric tests, p-values, confidence intervals, power and sample size, so readers can choose the right test for their data and interpret its results correctly.