Inference for Categorical Data: Proportions

This study guide covers statistical inference for proportions, including confidence intervals and significance tests. It explains how to estimate population proportions from sample data, test claims about population proportions, and perform inference with two proportions. Key concepts include sample proportion, sample size, confidence level, null hypothesis, alternative hypothesis, and p-value. The guide also emphasizes conditions for inference (randomness, independence, and normality) and provides practice questions.