query: Can the bins for the Chi-Square test be chosen manually?
positive_passages.docid: 154178
positive_passages.text: Performing a chi-square goodness of fit test
negative_passages.docid: 131642
negative_passages.text: How to check for normal distribution using Excel for performing a t-test?
negative_passages.docid: 17834
negative_passages.text: Calculating the optimal number of bins for severely skewed data
negative_passages.docid: 112590
negative_passages.text: How to deal with multicollinearity when performing variable selection?
negative_passages.docid: 99504
negative_passages.text: Why is chi square used when creating a confidence interval for the variance?
negative_passages.docid: 46848
negative_passages.text: Test of whole distribution for two samples
negative_passages.docid: 71090
negative_passages.text: Scikit learn - fit_transform on the test set
negative_passages.docid: 11356
negative_passages.text: What to do when I have expected count <5 warning for a chi squared test?
negative_passages.docid: 111321
negative_passages.text: When should we discretize/bin continuous independent variables/features and when should not?
negative_passages.docid: 63594
negative_passages.text: Simplified Monte Carlo procedure in Chi square test
negative_passages.docid: 127918
negative_passages.text: A routine to choose eps and minPts for DBSCAN
negative_passages.docid: 62247
negative_passages.text: Why do my p-values differ between logistic regression output, chi-squared test, and the confidence interval for the OR?
negative_passages.docid: 30633
negative_passages.text: Is there a statistical test to compare two samples of size 1 and 3?
negative_passages.docid: 48968
negative_passages.text: What is wrong with this chi-squared calculation?
negative_passages.docid: 137251
negative_passages.text: Equivalence test for binomial data?
negative_passages.docid: 89478
negative_passages.text: Can a dichotomous variable (yes/no) be merged with a Likert measure (1,2,3,4) using z scores?
negative_passages.docid: 122318
negative_passages.text: G-test vs Pearson's chi-squared test