1. Introduction and overview -- 2. Probability -- 3. Discrete random variables and their

presentations -- Numberical descriptive techniques -- Data collection and sampling -- Probability -- Random

. Variables and variable manipulations -- 19. Variables and variable formats -- 20. Variable and value labels

census -- Sampling methods -- Probability sampling methods -- Simple random sampling -- Systematic random

variables and probability distributions -- Sampling and statistical inference -- Regression analysis

1. Introduction -- 2. Discrete Random Variables -- 3. Continuous Random Variables -- 4. Expectation

-- 4. Multiple Random Variables -- 5. Properties of a Random Sample -- 6. Principles of Data Reduction

-- Statistical inference. Confidence intervals. Significance testing. Non-parametric tests -- Relating variables

Random variables.

. Random Variables and Probability Distributions -- B. Statistical Complements -- C. Mean Square

. Random Variables.

1. Why Multivariate Statistics? -- 2. Joint Distribution of Several Random Variables -- 3. The