Practical Statistics for Data Scientists - Statistical Experiments Significance Testing

Explore statistical experiments and significance testing in this comprehensive video lecture from the "Practical Statistics for Data Scientists" series. Delve into key concepts including A/B testing, hypothesis testing, resampling techniques, and random permutation. Learn about p-values, degrees of freedom, and the dummy variable trap. Gain insights into hot encoding, multilinearity, and ANOVA testing. Understand the importance of F-statistics in statistical analysis. Apply these practical statistical methods to real-world data science scenarios and enhance your ability to draw meaningful conclusions from experimental data.

Intro
Channel Overview
Discord
Practical Statistics
AB Testing
Hypothesis Testing
Resampling
Random Permutation
Group Landing Page
PValues
Investopedia
Quote
Degrees of Freedom
Dummy Variable Trap
Hot Encoding
Multilinearity
ANOVA Testing
Fstatistic