Statistics Review

We wish to test H₀: μ = 0. We would reject H₀ at the 5% level if the 95% confidence interval for the mean contains 0.

A 95% confidence interval give an interval that has a 95% probability of containing the population parameter.

ANOVAs and a Stepdown Analysis are the only strategies for assessing a significant main effect or interaction in MANOVA.

When you add an interaction to a regression model, you can still evaluate the main effects that make up the interaction.

The only way to evaluate an interaction between two independent variable is to categorize one or both of them

A Pearson correlation of zero implies there is no relationship between X and Y.

The interquartile range is the most appropriate measure of variation to use with nominal data.

In ANCOVA the covariate is a nuisance. The point of ANCOVA is to evaluate the means after controlling for the covariate

In repeated measure designs, sphericity is a critical assumption that must be met.

As Type 1 error decreases, power increases.

A p-value represents the probability the null hypothesis is true given the data

Kurtosis is a measure of lack of symmetry.

When 95% CIs for two independent populations overlap, then there is NOT a significant difference between the means.

Standardized regression coefficients are meaningful for dummy-coded predictors

The intercept is always meaningless in a regression analysis