why a contingency table is usually significant what is the average on a bootstrap test for the correlation? how to study independence of a dataset if you use bootstrapping, does the correlation between variables always get significant how does independence of each variable work in a large data set why is the chi2 statistic always significant do bootstrap variables contain independent variables which statement best describes the importance of a contingency test? how to find correlation across categorical variable how to study a large population when do you determine whether the correlation is independent? do bootstrap samples always contain the same data why is it difficult to interpret the data of a large sample can you test correlation using bootstrapping how to compare the chi-sample what is the difference between an independent and independence sample? which statement is best to test for a large population? how to interpret the correlation in a large dataset how to determine if the correlation is significant how to study the independence of a population based on chi-seq