query: Interpretation of the t.test in R
positive_passages.docid: 23190
positive_passages.text: Interpretation of the t.test and Wilcox.test in R
negative_passages.docid: 146613
negative_passages.text: Mathematically, how are the critical t values calculated?
negative_passages.docid: 120675
negative_passages.text: What does [t] and [ht] mean?
negative_passages.docid: 72624
negative_passages.text: Paired t-test when each data point was repeatedly measured different number of times?
negative_passages.docid: 32821
negative_passages.text: How to interpret F- and p-value in ANOVA?
negative_passages.docid: 74477
negative_passages.text: T-test for non normal when N>50?
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: 101468
negative_passages.text: t.test returns an error "data are essentially constant"
negative_passages.docid: 144029
negative_passages.text: one sample t-tests applied to each row - 'data are essentially constant' error
negative_passages.docid: 60739
negative_passages.text: How to visualize independent two sample t-test?
negative_passages.docid: 77906
negative_passages.text: Interpretation of p-value in Mann-Whitney rank test
negative_passages.docid: 127970
negative_passages.text: Power analysis for Kruskal-Wallis or Mann-Whitney U test using R?
negative_passages.docid: 40899
negative_passages.text: How to use an optimization solver to get t-stats and p-values for the estimates?
negative_passages.docid: 158705
negative_passages.text: When to use the Wilcoxon rank-sum test instead of the unpaired t-test?
negative_passages.docid: 30821
negative_passages.text: Should confidence intervals for linear regression coefficients be based on the normal or $t$ distribution?
negative_passages.docid: 85035
negative_passages.text: Can ANOVA be significant when none of the pairwise t-tests is?
negative_passages.docid: 5198
negative_passages.text: Is it possible to combine the F-test and t-test to test for differences in both the variance and the mean?