Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. 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.

Version:

v26

Audience:

? IBM SPS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS Statistics Base.
? Anyone who wants to refresh their knowledge and statistical experience.

Objectives:

Detail:

nd standardized coefficients
? Assess the fit
? Examine residuals
? Include 0-1 independent variables
? Include categorical independent variables

Introduction to Bayesian statistics
? Bayesian statistics and classical test theory
? The Bayesian approach
? Evaluate a null hypothesis
? Overview of Bayesian procedures in IBM SPSS Statistics

Overview of multivariate procedures
? Overview of supervised models
? Overview of models to create natural groupings

Pre-Requisites:

? Experience with IBM SPSS Statistics (version 18 or later), or
? Completion of the IBM SPSS Statistics Essentials course