query: Concept of performing a t-test while controlling/adjusting for one or more variables?
positive_passages.docid: 30387
positive_passages.text: How exactly does one “control for other variables”?
negative_passages.docid: 144029
negative_passages.text: one sample t-tests applied to each row - 'data are essentially constant' error
negative_passages.docid: 152499
negative_passages.text: McNemar’s test or T-test for measuring statistical significance of matched-pre-post-test result
negative_passages.docid: 57829
negative_passages.text: Variables are often adjusted (e.g. standardised) before making a model - when is this a good idea, and when is it a bad one?
negative_passages.docid: 77384
negative_passages.text: How to test for a monotonic relationship between two variables, without assuming a specific functional model?
negative_passages.docid: 132522
negative_passages.text: Does a big difference in sample sizes together with a difference in variances matter for a t-test (or permutation test)?
negative_passages.docid: 7565
negative_passages.text: Is there a minimum sample size required for the t-test to be valid?
negative_passages.docid: 80757
negative_passages.text: Multiple variables in a 'with' statement?
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: 39991
negative_passages.text: Multiple hypothesis testing with FDR in R - FDRtool and p.adjust
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: 47559
negative_passages.text: Determine variables that fit this criterion...
negative_passages.docid: 50996
negative_passages.text: Why use a z test rather than a t test with proportional data?
negative_passages.docid: 23190
negative_passages.text: Interpretation of the t.test and Wilcox.test in R
negative_passages.docid: 982
negative_passages.text: T-test with sample standard deviation of zero. Possible?
negative_passages.docid: 111576
negative_passages.text: Formula to generate Critical t-values for t-test (instead of using a look-up array)
negative_passages.docid: 101468
negative_passages.text: t.test returns an error "data are essentially constant"