This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors’ approach combines mathematical depth with numerous examples and demonstrations using JMP software.
In this chapter, the authors discuss discrete random variables, as well as continuous random variables. The focus is on bivariate probability distributions and densities, although some more general results are mentioned too.
You will learn about:
- Expected value of functions of several random variables.
- Conditional expected values.
- Probability distributions of functions of random variables.
- Functions of independent Poisson, normally, and lognormally distributed random variables.