1) The probability of making a Type II error increases when the

-sample size is large.

-effect size is small.

-probability of a Type I error is high.

-significance level is set very high.

2) When inputting data into a statistical program, the rows of the matrix contain

-independent variables.

-correlational scores between groups.

-participant scores on various measures.

-data for each research participant.

3) The expected value oftunder the null hypothesis

-varies depending on the alpha level.

-equals 1.

-depends on the degrees of freedom.

-equals 0.

4) The Pearsonrcorrelation coefficient is appropriate for use when both variables have

-nominal scale properties.

-interval or ratio scale properties.

-ordinal and interval scale properties.

-different scales of measurement.