Statistical Hypothesis Testing Overview Hypothesis testing provides a framework for making data-driven decisions by testing whether observed differences are statistically significant or due to chance. Testing Framework - Null Hypothesis (H0) : No effect or difference exists - Alternative Hypothesis (H1) : Effect or difference exists - Significance Level (α) : Threshold for rejecting H0 (typically 0.05) - P-value : Probability of observing data if H0 is true Common Tests - T-test : Compare means between two groups - ANOVA : Compare means across multiple groups - Chi-square : Test independence…