https://datatweets.com/courses/statistics/statistical-inference/Recent content in Statistical Inference on DATATWEETSHugoenCopyright (c) 2025 DatatweetsSat, 27 Jun 2026 09:00:00 +0200https://datatweets.com/courses/statistics/statistical-inference/lesson-1-sampling-distributions-and-confidence-intervals/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/statistics/statistical-inference/lesson-1-sampling-distributions-and-confidence-intervals/Simulate the sampling distribution of the mean from real car data, meet the standard error and Central Limit Theorem, then construct a 95% confidence interval with a formula and with the bootstrap.https://datatweets.com/courses/statistics/statistical-inference/lesson-2-hypothesis-testing/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/statistics/statistical-inference/lesson-2-hypothesis-testing/Assume nothing happened, then ask how surprising your data would be. Build a null distribution with a permutation test, read a p-value, choose a significance level, and learn what ‘significant’ really means.https://datatweets.com/courses/statistics/statistical-inference/lesson-3-chi-squared-goodness-of-fit/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/statistics/statistical-inference/lesson-3-chi-squared-goodness-of-fit/Learn to compare observed category counts against expected ones, compute the chi-squared statistic, read it against degrees of freedom and a significance level, and confirm it with scipy.stats.chisquare.https://datatweets.com/courses/statistics/statistical-inference/lesson-4-chi-squared-independence/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/statistics/statistical-inference/lesson-4-chi-squared-independence/Build contingency tables with pd.crosstab, compute expected counts under independence, and run the chi-squared test of independence on penguins and cars — plus the cautions every analyst needs.https://datatweets.com/courses/statistics/statistical-inference/lesson-5-guided-project-japanese-vs-american-cars/Fri, 14 Nov 2025 09:00:00 +0200https://datatweets.com/courses/statistics/statistical-inference/lesson-5-guided-project-japanese-vs-american-cars/Settle a bar argument with statistics. Estimate each group’s true mpg with confidence intervals, run a permutation test and a t-test on the difference, measure the effect size, then use a chi-squared test to ask whether engine size is tied to origin — with honest caveats about what observational data can and can’t prove.