Univariate analysis is the simplest form of quantitative (statistical) analysis. Univariate analysis explores each variable in a data set, separately. It looks at the range of values, as well as the central tendency of the values. It describes the pattern of response to the variable and also describes each variable on its own. Univariate analysis was performed so as to facilitate more complicated analyses, like bivariate and multivariate analysis. Univariate descriptive statistics describe individual variables. In this section we were trying to describe the descriptive statistics which summarize the data. We use pie chart, bar diagram, doughnut chart, column diagram for graphical representation for explaining the descriptive statistics. We*…show more content…*

Association is based on how two variables simultaneously change together; the notion of co-variation. Bivariate descriptive statistics involves simultaneously analyzing (comparing) two variables to determine if there is a relationship between the variables. The purpose of this chapter is to go beyond Univariate statistics, in which the analysis focuses on one variable at a time.

To do this analysis we used cross tabulation technique for finding association among variables. Initially we test that two variables are associated or not. If two variables are associated then we find strength of this association by appropriate statistic. Cross tabulations can be produced by a range of statistical packages, including some that are specialized for the task. By using the cross tabulation technique, in this section we will analyze the association between variables. We will also test the correlation among them. Here we will explain the summary of the results.

Bar Plot

A bar chart or bar graph is a chart that presents grouped data with rectangular bars with lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column bar

Association is based on how two variables simultaneously change together; the notion of co-variation. Bivariate descriptive statistics involves simultaneously analyzing (comparing) two variables to determine if there is a relationship between the variables. The purpose of this chapter is to go beyond Univariate statistics, in which the analysis focuses on one variable at a time.

To do this analysis we used cross tabulation technique for finding association among variables. Initially we test that two variables are associated or not. If two variables are associated then we find strength of this association by appropriate statistic. Cross tabulations can be produced by a range of statistical packages, including some that are specialized for the task. By using the cross tabulation technique, in this section we will analyze the association between variables. We will also test the correlation among them. Here we will explain the summary of the results.

Bar Plot

A bar chart or bar graph is a chart that presents grouped data with rectangular bars with lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column bar

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