Скачать или смотреть Curves Beat Lines: Limits of Pearson’s r + Probability 101 | Decode the World Ep. 10

Welcome to Episode 10 of Decode the World: An Introduction to Statistics … a practical, psychology-focused intro to statistics.

In this session we:
Wrap up correlation by showing where Pearson’s r fails (hello, curvilinear patterns) using an assertiveness ↔ leadership study
Lay down probability fundamentals (long-run frequency)
Work through conditional probability with the Marshmallow Test data

In this video, you’ll:
📉 See the limits of Pearson’s r with a curvilinear assertiveness–leadership relation (Ames & Flynn): a “sweet spot” in the middle, not a straight line
🤝 Connect back to an earlier example (facial metrics & aggression): how a remembered histogram spike can spark new research questions
🎲 Build probability basics: probabilities are 0–1 long-run proportions; coin flips, dice (1/6 ≈ 0.17), and roulette (why red ≈ 0.47, not 0.50)
📈 Watch a coin-flip simulation show proportion converging toward 0.50 (and why streaks still happen)
🔗 Do conditional probability from data and see why Academic Competence and Delay of Gratification are not independent, but Frequency of Problems and Delay of Gratification are independent

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💬 Comment: Name one case where a curve fits data better than a line

#Statistics #Probability #ConditionalProbability #Correlation #Curvilinear #PearsonsR #Scatterplots #Independence #MarshmallowStudy #Psychology #ResearchMethods #DataLiteracy #IntroToStatistics #AmesAndFlynn #AlwaysGraphYourData