To use a tutorial simply click on the link below and a PDF document will open with the step-by-step tutorial for the given statistical topic. Courses listed in parentheses are those that typically cover these topics, however the tutorial can be used for any course covering this topic. Minitab tutorials are listed first and the corresponding SPSS tutorials are listed below.
Minitab Tutorials
Introduction to Minitab - Learn the basics on how to use Minitab from starting the software to entering data to producing various graphs and descriptive statistics of data. (Stat 190, 290, and 300 level courses)
Crosstab Categorical Data Analysis I - Learn how to enter data for a crosstab and create a cross-tabulation table. (Stat 190, 290, and 300 level courses)
Crosstab Categorical Data Analysis II - Learn how to conduct a Chi-Square Goodness of Fit test for categorical data. (Stat 190, 290, and 300 level courses)
Crosstab Categorical Data Analysis III - Learn how to run a Test of Homogeneity and Fisher's Exact Test. (Stat 190, 290, and 300 level courses)
Hypothesis Testing - Learn how to run 1-tailed and 2-tailed hypothesis tests and interpret the results. (Stat 190, 290, and 300 level courses)
One-way ANOVA- Learn how to graphically display data used in the ANOVA test, how to run a Homogeneity of Variance test, how to run a one-way ANOVA test, and post-hoc multiple comparison tests. (Stat 375)
Repeated Measures ANOVA - Learn how to complete a repeated measures ANOVA test. (Stat 375)
Factorial Design-Completely Randomized Design - Learn how to create relevant plots, run a Homogeneity of Variance test, and run a CRD. (Stat 375)
Factorial Design-Randomized Block Design - Learn how to run a RBD, interpret graphs, run a Test of Additivity Assumption, and analyze the randomized block output. (Stat 375)
Simple Regression Analysis - Learn how to enter data, create a scatterplot, run a simple regression analysis, add a fitted line to a scatterplot, create confidence intervals on the regression coefficients, and create fitted values with confidence and prediction intervals. (Stat 378)
Multiple Regression Analysis - Learn how to run a multiple regression analysis, check for multicollinearity with VIF (variance inflation factors), correct multicollinearity, and transform your data set. (Stat 378)
Indicator Variables - Learn how to create and interpret indicator variables and include interaction terms for variables with the indicator variable. (Stat 378)
Model Selection - Learn how to run variable and model selection tests (stepwise regression, forward selection, backward elimination, and best subset regression), use the AIC model selection criterion to select your best model, and utilize Mallow's Cp. (Stat 378)
Residuals and Influential Points - Learn how to create residual plots, store residuals in your worksheet, run tests for lack of fit, and identify influential points in your dataset (including Cook's D and DFITS). (Stat 378)
Nonparametric Statistics-Rank Tests - Learn how to conduct a Wilcoxon Signed-Rank Test (one-sample), Sign Test (one-sample), Sign and Wilcoxon Tests (matched pairs), Mann-Whitney Test (two independent samples), Kruskal-Wallis Test (3+ samples), and Friedman Test. (Stat 376)
Nonparametric Statistics-Chi-Squared - Learn how to conduct a Chi-Squared Goodness of Fit Test and Chi-Squared Test of Independence. (Stat 376)
SPSS Tutorials
Crosstab Categorical Data Analysis I
Crosstab Categorical Data Analysis II
Crosstab Categorical Data Analysis III
Factorial Design-Completely Randomized Design
Factorial Design-Randomized Block Design
Multiple Regression Analysis (Does not contain as detailed information as Minitab tutorial for model selection or multicollinearity.)