query: Chi-Square-Test: Why is the chi-squared test a one-tailed test?
positive_passages.docid: 76473
positive_passages.text: Is chi-squared always a one-sided test?
negative_passages.docid: 123269
negative_passages.text: Are unequal groups a problem for one-way ANOVA?
negative_passages.docid: 110927
negative_passages.text: Can non-random samples be analyzed using standard statistical tests?
negative_passages.docid: 99504
negative_passages.text: Why is chi square used when creating a confidence interval for the variance?
negative_passages.docid: 80632
negative_passages.text: Why is the Mann–Whitney U test significant when the medians are equal?
negative_passages.docid: 125189
negative_passages.text: When conducting a t-test why would one prefer to assume (or test for) equal variances rather than always use a Welch approximation of the df?
negative_passages.docid: 149375
negative_passages.text: One-sided Fisher's exact test and its complement
negative_passages.docid: 63594
negative_passages.text: Simplified Monte Carlo procedure in Chi square test
negative_passages.docid: 50184
negative_passages.text: Doubling the tails in two-sample permutation test
negative_passages.docid: 112394
negative_passages.text: Why is  the Breusch-Pagan test significant on simulated data designed not to be heteroscedastic?
negative_passages.docid: 55841
negative_passages.text: Fisher's exact test: 95% CI or p-value
negative_passages.docid: 78109
negative_passages.text: If and how to use one-tailed testing in multiple regression
negative_passages.docid: 93691
negative_passages.text: Given the power of computers these days, is there ever a reason to do a chi-squared test rather than Fisher's exact test?
negative_passages.docid: 155619
negative_passages.text: Goodness-of-fit test in Logistic regression; which 'fit' do we want to test?
negative_passages.docid: 88962
negative_passages.text: Why does the p-value double when using two-tailed test compared to one-tailed one?
negative_passages.docid: 13664
negative_passages.text: Bias and variance in leave-one-out vs K-fold cross validation
negative_passages.docid: 77184
negative_passages.text: Can I ignore the warning: "tests made without re-estimating 'theta'" from an analysis of deviance test of a negative binomial model?