• Understand the concepts associated with the independence of two variables

• Understand statistical independence of two variables

• Understand and interpret the chi-square statistic

As indicated elsewhere in this book, a major part of statistical analysis is the assessment of the independence of two or more variables. The *t* test assesses the independence of two variables, one measured on a numerical scale and the other measured on a categorical scale that takes only two values. Analysis of variance (ANOVA) assesses the independence of two or more variables. With ANOVA, one variable is measured on a numerical scale and the others are measured on categorical scales that may take ...

Start Free Trial

No credit card required