Content
- 3.1 Random Variables
- 3.2 Probability Distributions for Discrete Random Variables
- 3.3 Expected Values
- 3.4 The Binomial Probability Distribution
- 3.5 Hypergeometric and Negative Binomial Distributions
- 3.6 The Poisson Probability Distribution
- Supplementary Exercises (94-122)
- BIBLIOGRAPHY
Introduction
Statistical analysis of experiments - Focus on numerical aspects of data, regardless of outcome type (qualitative or quantitative) - Examples: - Sample proportion (x/n) - Mean (x̄) - Standard deviation (s) - Use of random variables - Function: Convert experimental outcomes to numerical values - Types: - Discrete random variables - Covered in current chapter - Basic properties - Important examples - Continuous random variables - Covered in Chapter 4