What you need to know:
Distributions; populations; samples.
Hypothesis testing: t and F tests.
Research Designs; threats to validity.
Factorial ANOVA: main effect, marginal mean, cell mean.
Type I and II error; alpha, beta, sampling error, power.
One-tailed & two-tailed tests; rejection region.
Measures of central tendency and dispersion;
standard error; F-ratio.
IV and DV, levels;
Threats to internal validity (history, maturation...);
Strategies for controlling these threats (random assignment, etc.);
Types of research and their defining characteristics (true experimental, quasi-experimental, longitudinal, etc.);
Levels of measurement;
Kinds of distribution;
Measures of central tendency and dispersion;
Inferential statistical tests (t-test; F-test);
Elements of ANOVA summary table.