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Statistical Methods 1: Essentials       

Course Description

This course is an introduction to the statistical component of IBM^® SPSS^® Statistics*. 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 summarising 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, interpret their output and graphically display the results using IBM SPSS Statistics.

Who Should Attend

• Anyone who has worked with IBM SPSS Statistics and wants to become better versed in the statistical capabilities
• Those with limited statistical background or in need of a refresher

Prerequisites

• Knowledge of the basics of IBM SPSS Statistics equivalent to "Level 1:  Introduction"
• Basic statistical knowledge equivalent to one university level course in Statistics

Course Content

• Introduction to Statistical Analysis
• Principles of Research Design and Process
• Data Cleaning and Preparation: Using the Data Preparation (add-on) module
• Describing categorical data
• Summarising continuous data
• Measures of central tendency and dispersion
• Concepts behind inferential statistics - drawing conclusions from sample
• Comparing groups: Crosstabs with Chi-square test
• Measures of association
• Differences between group means: T-test
• Bivariate plots and correlations
• Introduction to regression
• Appendix:  One-way ANOVA

SPSS Products Used

• IBM SPSS Statistics Base + IBM SPSS Data Preparation*

Duration

• 2 days 

*IBM SPSS Statistics formerly known as PASW Statistics.
IBM SPSS Data Preparation formerly known as PASW Data Preparation.

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