For the purposes of these quizzes, univariate techniques are those which utilize only a single dependent variable. Therefore, designs which utilize multiple independent variables can be and are included in the univariate section of statistical techniques.

Multivariate methods provide an optimal linear combination of dependent variables that satisfy specific statistical criteria. These procedures include: (a) multivariate analogues of correlation and prediction techniques, (b) multivariate analogues of ANOVA significance tests, and (c) the classification of individuals into categories on the basis of predictor information.

• Variables and Scales of Measurement
• Measures of Central Tendency
• Measures of Variability
• Other Properties of Distributions

Part I: Probability and Hypothesis Testing

• Introduction to Probability
• Intermediate Probability
• Hypothesis Testing

Part II: Statistical Tests for Nominal Data

• The Binomial Distribution
• Chi Square Tests

• One Sample Tests
• Two Sample Tests

Part IV: Correlation and Regression

• Correlations
• Regression

Part V: Analysis of Variance (ANOVA)

• SRD ANOVA
• Factorial ANOVA

Part VI: Nonparametric Analogues

• Nonparametric Tests