Relationship between sampling and statistics.

Displaying sample data.

Descriptive sample statistics.

Probability, populations, and random variables.

Some useful discrete and continuous distributions.

Estimation (one sample).

Hypothesis testing.

Two related samples (matches pairs).

Estimation and hypotheses testing with two independent samples.

Contigency tables (optional).

Correlation.

Regression.

Time series analysis (optional).

Formulating general linear models for fitting data.

Multiple linear regression.

Analysis of variance for one-factor experiments.

Analysis of variance for two-factor experiments.