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This Statistical Analysis Using IBM SPSS Statistics (V25) 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, as well as 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 as well as how to apply them with confidence, interpret their output, and graphically display the results.
Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
Introduction to statistical analysis
Examine individual variables
Test hypotheses about individual variables
Test the relationship between categorical variables
Test on the difference between two group means
Test on differences between more than two group means
Test the relationship between scale variables
Predict a scale variable: Regression
Introduction to Bayesian statistics
Overview of multivariate procedures