query: Testing to see if a population is normal?
positive_passages.docid: 50900
positive_passages.text: Testing normality
negative_passages.docid: 2586
negative_passages.text: Which statistical test to analyse?
negative_passages.docid: 145477
negative_passages.text: Is Shapiro–Wilk the best normality test? Why might it be better than other tests like Anderson-Darling?
negative_passages.docid: 33067
negative_passages.text: Testing nonlinearity in logistic regression (or other forms of regression)
negative_passages.docid: 94870
negative_passages.text: Testing for significance between means, having one normal distributed sample and one non normal distributed
negative_passages.docid: 118871
negative_passages.text: Testing whether the mean of a group is different from the mean of the entire sample
negative_passages.docid: 100722
negative_passages.text: Generalizing results - what is the population?
negative_passages.docid: 134549
negative_passages.text: Test if two binomial distributions are statistically different from each other
negative_passages.docid: 112942
negative_passages.text: Checking Normality of Numerical, and Categorical Data
negative_passages.docid: 29421
negative_passages.text: What is the correct way to test for significant differences between coefficients?
negative_passages.docid: 46848
negative_passages.text: Test of whole distribution for two samples
negative_passages.docid: 24148
negative_passages.text: Significance tests
negative_passages.docid: 15075
negative_passages.text: How to choose between t-test or non-parametric test e.g. Wilcoxon in small samples
negative_passages.docid: 32023
negative_passages.text: What have to be normally distributed: groups or whole sample?
negative_passages.docid: 83800
negative_passages.text: AB testing - normalizing for a group's historic performance? Bayes Factors?
negative_passages.docid: 21049
negative_passages.text: Why would all the tests for normality reject the null hypothesis?
negative_passages.docid: 137654
negative_passages.text: Sample Standard Deviation vs. Population Standard Deviation