query: How to interpret the student t statistic in a sas proc univariate output
positive_passages.docid: 4677
positive_passages.text: What is the meaning of p values and t values in statistical tests?
negative_passages.docid: 90637
negative_passages.text: How to derive test statistic under composite null hypothesis?
negative_passages.docid: 119481
negative_passages.text: Show t-distribution is close to normal distribution when df is large
negative_passages.docid: 11124
negative_passages.text: Normality of residuals vs sample data; what about t-tests?
negative_passages.docid: 62738
negative_passages.text: How to perform two-sample t-tests in R by inputting sample statistics rather than the raw data?
negative_passages.docid: 120109
negative_passages.text: Equivalent to Welch's t-test in GLS framework
negative_passages.docid: 121252
negative_passages.text: Interpreting output of importance of a random forest object in R
negative_passages.docid: 69616
negative_passages.text: Significance contradiction in linear regression: significant t-test for a coefficient vs non-significant overall F-statistic
negative_passages.docid: 131931
negative_passages.text: Derivation of the density function of student t-distribution from this big integral.
negative_passages.docid: 65565
negative_passages.text: Multiple t-tests vs. one-way ANOVA
negative_passages.docid: 149097
negative_passages.text: Chi-squared Test and Data Representation
negative_passages.docid: 84328
negative_passages.text: Wald test in regression (OLS and GLMs): t- vs. z-distribution
negative_passages.docid: 141186
negative_passages.text: Anova from R output interpretation
negative_passages.docid: 76788
negative_passages.text: Interpreting logistic regression output in R
negative_passages.docid: 144029
negative_passages.text: one sample t-tests applied to each row - 'data are essentially constant' error
negative_passages.docid: 34562
negative_passages.text: What does each part of the `ls -la` output mean?
negative_passages.docid: 43393
negative_passages.text: Interpretation of p-value in hypothesis testing