Comparing Two Means, Made Simple!!!

Comparing Two Means, Made Simple!!! What is the two-sample t-test, and how does it decide whether a difference between two group averages is real? Norm surveys twelve Naruto watchers and twelve One Piece watchers on the anime minutes each logged last week, then runs the full comparison: the standard error of the difference, Welch degrees of freedom, the verdict at t = 2.74, the 95% confidence interval from 22.6 to 164.1 minutes, and Cohen's d — plus the assumptions to check and why the Welch version is the software default. Chapters: 0:00 Hello and welcome 0:19 The route for this lesson 0:40 The survey: two fandoms, one question 1:27 Norm's question: why not just declare the winner? 1:45 Why overlap demands a test 2:05 Meet the data 2:30 The recipe: difference over wiggle 2:55 Plugging in: the standard error 3:21 The verdict: t = 2.74 3:45 Comparing centers, not bells 4:08 The interval: 22.6 to 164.1 minutes 4:29 How big is big? Cohen's d 4:47 The assumptions, in one breath 5:09 Welch: when in doubt 5:28 This test is on duty everywhere 5:44 Two questions to always ask 6:02 The paired test's sibling 6:20 In summary 6:42 Wrap-up and the next lesson 🔔 Subscribe to Practical Data Science for statistics and machine learning, made simple. Keep practicing! #statistics #machinelearning #datascience #ttest