Probability & Statistics¶
- Chi-square test
- Probability and statistics for DS
- Statistical significance
- Hypothesis test
- How to determine significance for hypothesis testing
- Visualize hypothesis testing
- Causal vs statistical inference
- Phi_k correlation coefficient
- PP score
- Generate random variables
pingouinbetter thanstatsmodelspingouinlibrary for statistical tests- Guide to confidence intervals
- Stop using p = 0.05
- What p-value stands for
- Optimal sample size
- Experiment design
- Rule of three: calculating probability of events not yet occurred
- Hypotheses testing with
scipy - Adaptive p-value
- Probability distributions Q&A - part 1
- Probability distributions Q&A - part 2
- Correlation visually explained
- 3 t-tests for data scientists
- Stats gist list: guide to jargon by Cassie Kozyrkov
- Algorithmic approach to statistical testing
- Kolmogorov-Smirnov test to check how data are distributed
- Empirical cumulative distribution: advantages over histogram for EDA
- Hypothesis Testing Explained (How I Wish It Was Explained to Me)
- Why Statistical Significance Is Pointless