The normal distribution is an assumption of many parametric statistical tests, and is typically associated with a Gaussian distribution, often with mean=0 and standard deviation=1. The "bell curve" is the visual, intuitive model for this distribution.
I have a vector, in R, with 1521298 points, which have to be tested for normality. I chose the Shapiro-Wilk test, …
r normal-distributionI have a bivariate gaussian I defined as follow: I=[1 0;0 1]; mu=[0,0]; sigma=0.5*I; beta = mvnrnd(mu,sigma,100); %100x2 matrix where …
matlab contour gaussian normal-distributionIn R, the shapiro.test() function cannot run if the sample size exceeds 5000. shapiro.test(rnorm(10^4)) Why is it so ? …
r normal-distributionBy using randn function I want to create a Gaussian random variable X such that X ~ N(2,4) and plot this …
matlab statistics distribution normal-distribution probability-densityDoes anyone know of an alternative for scipy.stats.norm.pdf()? I'm hosting my python site on Google App Engine …
python math scipy normal-distributionCan anyone give me a way to do a qq plot in Seaborn as a test for normality of data? …
python-3.x matplotlib scipy seaborn normal-distributionIn order to calculate the CDF of a multivariate normal, I followed this example (for the univariate case) but cannot …
python scipy normal-distribution cdfI'd like to generate correlated arrays of x and y coordinates, in order to test various matplotlib plotting approaches, but …
python random numpy correlation normal-distributionI have read the documentation on qnorm() but could not really understand what it does. Can you please answer in …
r normal-distributionWhen I call rnorm passing a single value as mean, it's obvious what happens: a value is generated from Normal(10,1). …
r vector statistics normal-distribution