# Introduction to Chi-square, Ttest, 1-Way ANOVA with SPSS - 1 day course

The course is sub-divided into the following Lessons:

1. Statistics which compares Proportions
2. Parametric Statistics comparing differences
3. Non parametric Statistics comparing differences.

## Statistics which compares proportions

This section will provide you with awareness and practice in the use of Chi-square statistics. You will gain knowledge and competence that will enable you to prepare your data to use Chi square and related statistics.

In this Lesson, you will cover the following topics:

• Pearson Chi square test (nxn tables)
• Fisher exact Chi square test for small sample size study
• Goodness of fit one sample Chi square (non parametric)
• McNemar Chi square test f or proportions
• Sign Rank Test and difference from a given mean value (benchmark test)
• Z-Test.

## Parametric Statistics which compares differences

This lesson will provide you with awareness and practice in the use of Ttest statistics and its variants. You will gain knowledge and competence to know when and how to use Ttest.

In this Lesson, you will cover the following topics:

• The Assumptions of using Ttest, a parametric Test
• One Sample Ttest (benchmark test)
• Two independent sample Ttest
• Paired sample Ttest
• One-way Analysis of Variance (ANOVA)

## Non Parametric Statistics which compares differences

This lesson will provide you with awareness and practice in the use of non parametric statistics. You will gain knowledge and competence that will enable you to prepare your data to use non parametric statistics.

In this Lesson, you will cover the following topics:

• The Assumptions of using Non parametric Test
• Wilcoxon signed rank test for one Sample with a given median value (benchmark test)
• Mann Whitney Utest for two independent samples
• Wilcoxon paired paired sample test.
• Kruskal-Wallis H test for comparing medians of more than two independent sample.