Association is based on how two variables simultaneously change together; the notion of covariation. Bivariate descriptive statistics involves the simultaneous analysis (comparison) of two variables to determine whether a relationship exists between the variables. The purpose of this chapter is to move beyond univariate statistics, in which the analysis focuses on one variable at a time. To do this analysis we used the cross tabulation technique to find associations between the variables. Initially we test whether two variables are associated or not. If two variables are associated, we find the strength of this association using an appropriate statistic. Cross tabulations can be produced by a number of statistical packages, including some specialized for the task. Using the cross-tabulation technique, in this section we will analyze the association between variables. We will also test the correlation between them. Here we will explain the summary of the results. Bar ChartA bar chart or bar graph is a graph that presents data grouped with rectangular bars with lengths proportional to the values ​​they represent. Bars can be drawn vertically or horizontally. A vertical bar chart is sometimes called a column bar