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This tutorial demonstrates how to standardize a contingency table in R for bivariate statistical relationships. Bivariate tables serve as a foundation for complex analyses, such as chi-square tests. By examining and standardizing the table first, we can interpret the initial results before hypothesis testing. The 2016 General Social Survey data will be used in this tutorial. Bivariate tables in R conventionally list the dependent variable (y) first, followed by the independent variable (x). In this case, the variables analyzed are happiness level and sex to determine any differences or similarities.
