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In this video, we dive into Part I of a two part video series on Hypothesis Testing in Python using powerful Python libraries like pandas, numpy, matplotlib, seaborn, scipy, and pengouin. Hypothesis Testing in Python Part II: • Hypothesis Testing in Python | pandas, num... Support me: BuyMeACoffee: https://buymeacoffee.com/dsfe Patreon: / dsfeorg Ko-fi: https://ko-fi.com/dsfe Follow me: Twitter: https://x.com/dsfeorg Github: https://github.com/dsfeorg Topics Covered: 1. One sample tests 2. z-score and z distribution (standard normal distribution) 3. Bootstrap Distribution 4. Two sample tests (paired and unpaired) 5. t-test and t-distribution 6. p-values and significance 7. Setting up hypothesis 8. Testing hypothesis 9. Analysis of Variance (ANOVA) Python libraries Used: pandas, numpy, matplotlib, seaborn, scipy, pengouin Chapters: 0:00 Introduction 1:22 One Sample Tests 3:00 Bootstrap Distribution 4:37 Standard Deviation and Standard Error 5:04 z-score 6:21 z-distribution/ Standard Normal Distribution 6:54 Null Hypothesis and Alternative Hypothesis 9:41 Concepts of t-tests and p-values 12:31 Concepts of statistical significance 14:32 Type I and Type II Errors and Confusion Matrix 16:37 Two Sample Tests 19:21 t-test statistics 21:10 t-distribution 22:12 Degrees of Freedom 24:05 pingouin package in python 25:07 Paired t-tests 26:52 ANOVA (Analysis of Variance) 28:45 Pairwise tests Datasets: Salaries data: https://github.com/dsfeorg/hypothesis... Modified Salaries data: https://github.com/dsfeorg/hypothesis... In-depth videos on: Linear Regression with statmodels (Python): • Linear Regression in Python (statsmodels) Supervised Learning with scikit-learn (Python) Part I: • Supervised Learning in Python with scikit-... Supervised Learning with scikit-learn (Python) Part II: • Supervised Learning in Python with scikit-... Don’t forget to Like, Share, and Subscribe for more data science content! #python #dataanalysis