query: fisher.exact test not returning expected p-value
positive_passages.docid: 149375
positive_passages.text: One-sided Fisher's exact test and its complement
negative_passages.docid: 94794
negative_passages.text: proof that p-value is uniformly distributed when the null hypothesis is true
negative_passages.docid: 21410
negative_passages.text: Comparing and contrasting, p-values, significance levels and type I error
negative_passages.docid: 158224
negative_passages.text: Mann Whitney test with unequal variances
negative_passages.docid: 135276
negative_passages.text: T-test equal variances, unequal sample sizes
negative_passages.docid: 132456
negative_passages.text: Non-uniform distribution of p-values when simulating binomial tests under the null hypothesis
negative_passages.docid: 10158
negative_passages.text: Confidence interval for the p-value estimate when doing Monte Carlo testing
negative_passages.docid: 95035
negative_passages.text: How to correct for small p-value due to very large sample size
negative_passages.docid: 15529
negative_passages.text: How to interpret p-values of 0 or 1?
negative_passages.docid: 148695
negative_passages.text: Comparing Growth Curve P-Values, Different Length Data Sets
negative_passages.docid: 101468
negative_passages.text: t.test returns an error "data are essentially constant"
negative_passages.docid: 153500
negative_passages.text: Dunn's test p-values in R are exactly half those in SPSS and GraphPad for the same data
negative_passages.docid: 42510
negative_passages.text: Always use Welch-t test (unequal variances t-test) instead of Student-t or Mann-Whitney test?
negative_passages.docid: 48525
negative_passages.text: Does $r$-squared have a $p$-value?
negative_passages.docid: 56924
negative_passages.text: Fisher's Exact Test in contingency tables larger than 2x2
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: 135187
negative_passages.text: Significance testing of three or more correlations using Fisher's transformation