Introduction to Statistical Analysis Using IBM SPSS Statistics (V24)

Course Code: 
0G515GSG

The focus of this course is an introduction to the statistical component of IBM SPSS Statistics Base. This is an application-oriented course and the approach is practical. You'll take a look at several statistical techniques and discuss situations in which you would use each technique, the assumptions made by each method, how to set up the analysis using IBM SPSS Statistics 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 underlying relationships. You will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, and interpret their output, and graphically display the results using IBM SPSS Statistics. This course uses the IBM SPSS Statistics Base features.

Target Audience: 

This basic course is for anyone who has worked with IBM SPSS Statistics and wants to become better versed in the basic statistical capabilities of IBM SPSS Statistics Base. This course targets those with limited or no statistical background. The course is also an appropriate refresher for those whose main statistical experience was gained many years ago.

Prerequisite: 

You should have:

  • General computer literacy
  • Completion of the 'Introduction to IBM SPSS Statistics' and/or 'Data Management and Manipulation with IBM SPSS Statistics' courses or experience with IBM SPSS Statistics (Version 15 or later) including familiarity with opening, defining, and saving data files and manipulating and saving output
Course Outline: 

 

  • Introduction to statistical analysis

  • Examine individual variables

  • Test hypotheses-theory

  • Test hypotheses about individual variables

  • Test the relationship between categorical variables

  • Test the difference between two group means

  • Test the differences between more than two group means

  • Test the relationship between scale variables

  • Predict a scale variable

  • Explore nonparametric tests