Statistical Analysis Using IBM SPSS Statistics V25 0G51AG

Duration: 
2 days
Codes: 
0G51AG
Versions: 
V25

Overview

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, 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.

Skills Gained

  • 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

Prerequisites

  • Familiarity with basic concepts in statistics, such as measurement levels, mean, and standard deviation.
  • Familiarity with the windows in IBM SPSS Statistics either by experience with IBM SPSS Statistics (version 18 or later) or completion of the IBM SPSS Statistics Essentials (V25) course.

Course Outline

  • 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

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Upcoming Dates

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Course Location Days Cost Date
Live Virtual Live Virtual2 1500 £1500 2019-09-23
Live Virtual Live Virtual2 1500 £1500 2019-10-24
Live Virtual Live Virtual2 1500 £1500 2019-11-25
Live Virtual Live Virtual2 1500 £1500 2019-12-09
Live Virtual Live Virtual2 1500 £1500 2020-01-21
Live Virtual Live Virtual2 1500 £1500 2020-01-28