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.
In genetics very small p-values are common (for example 10^-400), and I am looking for a way to get very …
r statistics normal-distribution geneticsIn matlab it is easy to generate a normally distributed random vector with a mean and a standard deviation. From …
matlab normal-distributionI'm trying to seed some data, is there anyway to generate numbers in SQL Server that follow a normal distribution …
sql-server sql-server-2008 normal-distributionI was working on statistics using R. Before i do this using R program, i have done it manually. So …
r normal-distributionI have calculated mean and SD of a set of values. Now I need to draw a bell curve using …
java normal-distributionI use fitdistr in R to select which distribution fits my data best. I've tried Cauchy, Weibull, normal, and Gamma …
r statistics normal-distribution weibull gamma-distributionThere is a result of some physical experiment, which can be represented as a histogram [i, amount_of(i)]. I …
python statistics normal-distributionHas anyone tried creating Normal Distribution chart using FLOT? If so, can you please put me in a right direction …
charts flot normal-distributionI started using scipy.optimize.minimize for a work project in which I try to optimize the allocation of product …
python-3.x scipy normal-distribution scipy-optimize scipy-optimize-minimizeI have a rather easy-to-understand question. I have a set of data and I want to estimate how good this …
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