How can I convert a uniform distribution (as most random number generators produce, e.g. between 0.0 and 1.0) into a normal distribution? What if I want a mean and standard deviation of my choosing? ...
Hello, The expected probability of randomly selecting an element from a set of n elements is P=1.0/n . Suppose I check P using an unbiased method sufficiently many times. What is the distribution type of P? It is clear that P is not normally distributed, since cannot be negative. Thus, may I correctly assume that P is gamma distributed? ...
Hi, I would like to know if in C++ standard libraries there is any gaussian distribution number generator, or if you have any code snippet to pass. Thanks in advance. ...
Hi, I'm trying to use the C++ STD TechnicalReport1 extensions to generate numbers following a normal distributions, but this code (adapted from this article): mt19937 eng; eng.seed(SEED); normal_distribution<double> dist; // XXX if I use the one below it exits the for loop // uniform_int<int> dist(1, 52); for (unsigned int i = 0;...
Given the start and the end of an integer range, how do I calculate a normally distributed random integer between this range? I realize that the normal distribution goes into -+ infinity. I guess the tails can be cutoff, so when a random gets computed outside the range, recompute. This elevates the probability of integers in the range, ...
Is there any way to randomly generate a set of positive numbers such that they have a desired mean and standard deviation? I have an algorithm to generate numbers with a gaussian distribution, but I don't know how to deal with negative numbers in a way the preserves the mean and standard deviation. It looks like a poisson distribution...
I've been banging my head against a wall on this one. I'm working on a project where the client owns a call centre and wants to estimate the number of people needed to work in half hour slots on a campaign by inputting a peak hour, an estimate of the people needed in that hour and presumably a standard deviation. This should then "fan o...
Is there a single pass algorithm that can produce numbers distributed over part of a normal (Gaussian) distribution? I want to specify a base value (the center of the distribution), a standard deviation, and a min and max values. For example I might want all values to be distributed between -0.5 and +1 standard deviations in the same r...
Hi all, I'm trying to use boost::normal_distribution in order to generate a normal distribution with mean 0 and sigma 1. The following code doesn't work as some values are over or beyond -1 and 1 (and shouldn't be). Could someont point out what I am doing wrong? #include <boost/random.hpp> #include <boost/random/normal_distribution.hpp...
Does anyone know how I could easily generate random numbers following a normal distribution in C/C++ ? http://www.mathworks.com/access/helpdesk/help/toolbox/stats/normrnd.html I don't want to use any of Boost. I know that Knuth talk about this at length but I don't have his books at hands right know. Thanks, ...
i have a freelance work website where programmers bid on projects. i want to draw a bell curve/ normal distribution chart for the bids placed on each project to show the percentage of bids higher or lower than the average bid. is there any statistical tool available that could take the data from the site and draw a graph? ...
I have a set of data, for which I'd like to find an average peak. I've done some testing in Numbers.app to see what I'm after and if I make a chart of the dataset it has a feature it calls "polynomial trendline" which draws a curve of the data and the peak of that curve looks exactly like the point/value I'm after. So how could I progr...
Given a dataProvider with values ranging from 25 to 85: public var answers:ArrayCollection = new ArrayCollection([ {user_id: "A5", question_1: 35, question_2: 55}, {user_id: "A6", question_1: 40, question_2: 56}, {user_id: "A7", question_1: 45, question_2: 52}, {user_id: "A8", question_1: 43, question_2: 50} ]); How c...