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Statistical Hypothesis Testing

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Conduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testing

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# 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
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