A data-based approach to statistics

Part 1 Data analysis: Data collection Data display Data summarization. Part 2 Probability and distributions: Probability and discrete and continuous populations Discrete and continuous distributions. Part 3 Estimation and hypotheses testing: Estimation Hypotheses testing Two related samples Estimation and hypotheses testing with two independent samples. Part 4 Enumerative data: Analysis of enumerative data. Part 4 Correlation and regression: Correlation Simple linear regression. Part 5 Quality control: Techniques for monitoring product quality. Part 6 Experimental design: One-factor experiments Two-factor experiments Three-factor experiments and covariates. Brief answers for the odd-numbered exercises.