Hypothesis Testing with SciPy
summary
Gives concrete recipes and outcomes: uses SciPy ttest_1samp and ttest_ind on toy and product data, shows when p values cross 0.05 and why stopping early biases results, runs ANOVA (f_oneway) and Tukey HSD via statsmodels to find which groups differ, demonstrates a d3 p-value demo and step‑by‑step Codecademy interactive exercises for sample size, binomial and chi‑square tests so viewers see code, numbers and when each method actually works.
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chapters (14)
- 0:00Introduction
- 3:46Hypothesis testing importance
- 10:55One-sample t-test demo
- 16:32P-values and significance
- 19:40Two-sample t-tests and plots
- 26:15Multiple tests dangers
- 29:28ANOVA for groups
- 32:59Tukey’s HSD post-hoc
- 36:22Categorical tests
- 42:47Experiment design
- 50:38Insignificant results
- 57:42Time-series handling
- 1:03:46Bayesian approaches
- 1:08:49Q&A
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