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This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results.
Introduction to statistical analysis
- Describing individual variables
- Testing hypotheses
- Testing hypotheses on individual variables
- Testing on the relationship between categorical variables
- Testing on the difference between two group means
- Testing on differences between more than two group means
- Testing on the relationship between scale variables
- Predicting a scale variable: Regression
- Introduction to Bayesian statistics
- Overview of multivariate procedures
1 - Introduction to statistical analysis
2 - Summarize individual variables
3 - Examine the distribution of the sample mean
4 - Tests on a single variable Testing on the relationship between categorical variables
5 - Test the hypothesis of independence
6 - Test the hypothesis of two equal group means
7 - Test the hypothesis of all group means being equal
8 - Test the hypothesis of independence
9 - Include categorical independent variables Introduction to Bayesian statistics
10 - Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures
Actual course outline may vary depending on offering center. Contact your sales representative for more information.