Introduction to Statistics
Course Description
This course is an introduction to the statistical component of SPSS. 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 SPSS 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 SPSS.
Who Should Attend
- Anyone who has worked with SPSS 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 SPSS equivalent to the level of the Introduction
to SPSS course
- 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
- SPSS Base + SPSS Data Preparation Module
Duration
"Provided an overview of statistical theory relevant to solving business problems."
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