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this video will show you how to take a contingency table an r for a bivariate statistical relationship and then standardize it i like to think of these bivariate tables as the precursor to more sophisticated analyses or formal hypothesis tests like for a chi-square test of independence or something like that so its useful to start by just looking at the table itself and then standardizing it appropriately so we can interpret the baseline results before moving on to hypothesis testing so uh as always in these tutorials i will be using the 2016 wave of the general social survey so i will just load all that so its ready for analysis the convention in r when youre building bivariate tables is they look something like this so you have your dependent variable first which well call y and then your independent variable x and so in this case the variables that were going to be working with are happiness level and sex uh basically to look and see whether there are differences or similariti
