Statistics with a single group of scores. You will be presented with a sample of data and be given an opportunity to compute the mean, median, mode, variance and standard deviation of the sample, and estimate the mean, variance, and standard deviation of the population from which the sample was drawn.
t test for independent groups. You will be presented with a generic story problem (with enough information to determine whether the test is one-tailed or two-tailed). You will then be asked to write the null and experimental hypothesis, draw and label the sampling distribution with the correct rejection region(s), find d.f. and tcritical, compute the value of t (this computation is broken into smaller pieces so that you can check your work), and then make a decision about whether or not to reject H0..
t test for correlated groups. This is virtually identical in structure to the t test for independent groups (see above).
One-factor ANOVA (completely randomized design). You will be given a randomly generated set of data, with roughly 20 scores divided into three to five groups. You will be asked to compute the means of each group, fill out the 'summary table', draw a sampling distribution, and interpret your results.
Correlation and Regression. You will be given a randomly generated set of data from a correlational design. You will then be asked to compute the value of Pearson's r. As a way to check your work you will be shown the values of SSx, SSy, and SSxy as well as the value of r. You will then be given the opportunity to check the correlation for statistical significance (using the t test). And finally, you will be asked to compute the regression equation for the data and then to use the equation to predict the value of Y given values of X.
Chi Square (Available Fall, 1999)