There are basically three types of t tests. We are going to look at each one in turn, that is, how to perform it and how to interpret the output.
We will also look at crosstabulation (Chi-Squared) which is a powerful technique that helps you to describe the relationships between categorical (nominal or ordinal) variables.
We also look at Correlation analysis which is use to measure the association between two variables. A correlation coefficient (r) is a statistic used for measuring the strength of a supposed linear association between two variables. The most common correlation coefficient is the Pearson correlation coefficient, use to measure the relationship between two interval variables. Generally, the correlation coefficient varies from -1 to +1.