query: How to choose critical F value from statistical tables when the df is large?
positive_passages.docid: 27818
positive_passages.text: How do I find values not given in (interpolate in) statistical tables?
negative_passages.docid: 42943
negative_passages.text: Order discrete x scale by frequency/value
negative_passages.docid: 56687
negative_passages.text: Normalizing the value of columns in Dataset
negative_passages.docid: 145983
negative_passages.text: du not accounting for space shown by df
negative_passages.docid: 84565
negative_passages.text: How to select a subset of variables from my original long list in order to perform logistic regression analysis?
negative_passages.docid: 10321
negative_passages.text: How can I pool bootstrapped p-values across multiply imputed data sets?
negative_passages.docid: 95035
negative_passages.text: How to correct for small p-value due to very large sample size
negative_passages.docid: 96379
negative_passages.text: Choosing the appropriate statistical test
negative_passages.docid: 18823
negative_passages.text: Intuitive explanation of the F-statistic formula?
negative_passages.docid: 110802
negative_passages.text: Model selection with low N?
negative_passages.docid: 107994
negative_passages.text: Why do df and du show different output?
negative_passages.docid: 93817
negative_passages.text: df command not showing correct values
negative_passages.docid: 108818
negative_passages.text: High p-values for logistic regression variable that perfectly separates?
negative_passages.docid: 132952
negative_passages.text: Writing a table with equally spaced columns, based on the widest column
negative_passages.docid: 47369
negative_passages.text: Why is there a mismatch between size reported by LVM and the size reported by df -h?
negative_passages.docid: 58090
negative_passages.text: Drop unused factor levels in a subsetted data frame
negative_passages.docid: 57565
negative_passages.text: Scaling data that are on different orders of magnitude for plotting