query: How do you know if a distribution is normal?
positive_passages.docid: 50900
positive_passages.text: Testing normality
negative_passages.docid: 109695
negative_passages.text: What to do if residuals are not normally distributed?
negative_passages.docid: 67856
negative_passages.text: Normal distribution and logarithms
negative_passages.docid: 4722
negative_passages.text: My distribution is normal; Kolmogorov-Smirnov test doesn't agree
negative_passages.docid: 97502
negative_passages.text: Joint distribution of a Normal and Truncated Normal
negative_passages.docid: 150667
negative_passages.text: Given the normal distribution X=N(1,2), what is E[X^3]?
negative_passages.docid: 55641
negative_passages.text: Distribution of the normal cdf
negative_passages.docid: 148903
negative_passages.text: If my histogram shows a bell-shaped curve, can I say my data is normally distributed?
negative_passages.docid: 112997
negative_passages.text: Probability distribution in Python
negative_passages.docid: 31342
negative_passages.text: How can I find the distribution of a stochastic variable X^2 if X is normal standard distributed?
negative_passages.docid: 24336
negative_passages.text: How can I obtain a Cauchy distribution from two standard normal distributions?
negative_passages.docid: 14093
negative_passages.text: Expected value of x in a normal distribution, GIVEN that it is below a certain value
negative_passages.docid: 88514
negative_passages.text: Confusion related to gaussian distribution
negative_passages.docid: 155639
negative_passages.text: Showing 2 Distributions are the Same
negative_passages.docid: 79773
negative_passages.text: What is $P(X > 0 \mid X + Y > 0)$ given that $X, Y$ are i.i.d standard normal?
negative_passages.docid: 43351
negative_passages.text: ANOVA assumption normality/normal distribution of residuals
negative_passages.docid: 146029
negative_passages.text: Does a log transform always bring a distribution closer to normal?