
My previous post looked at rolling 5 six-sided dice as an approximation of a normal distribution. If you wanted a better approximation, you could...
0 replies - 1060 views - 05/01/13 by John Cook in Articles

A handful of dice can make a decent normal random number generator, good enough for classroom demonstrations. I wrote about this a while ago.
My original post...
0 replies - 2470 views - 04/30/13 by John Cook in Articles

In fact, I’m going there with my family and some friends, including two probabilists (I mean professionals, I am merely an amateur), with this...
0 replies - 1262 views - 04/23/13 by Arthur Charpentier in Articles

Following my previous post, a few more things. As mentioned by Frédéric, it is – indeed – possible to compute the probability of all pairs. More...
0 replies - 1072 views - 01/05/13 by Arthur Charpentier in Articles

Lawrence Leemis published a chart in 1986 showing the relationships between around 20 probability distributions. I made an online version of this...
0 replies - 858 views - 12/17/12 by John Cook in Articles

I’m using the term “sleeper” here for a theorem that is far more important than it seems, something that you may not appreciate for years after you first...
0 replies - 2137 views - 12/11/12 by John Cook in Articles

Sometimes a little bit of Python beats a Google search.Last week I needed to look up the moments of a normal distribution. The first two moments are common...
0 replies - 2280 views - 11/05/12 by John Cook in Articles

Suppose you have a large number of buckets and an equal number of
balls. You randomly pick a bucket to put each ball in one at a time.
When you’re done,...
0 replies - 2154 views - 10/08/12 by John Cook in Articles

[In case you missed it, part 1 of 3]
There are future events whose impact can have a negative outcome or consequence to our project. A future event can...
0 replies - 3454 views - 07/11/12 by Dalip Mahal in Articles

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