This is a repost of the second part of anÂ example that I posted last yearÂ but at the time I only had the PDF document (written in ). This is the second example to generate multivariate random ass

This is a repost of anÂ example that I posted last year but at the time I only had the PDF document (written in ). Â I’m reposting it directly into WordPress and I’m including the graph

Like most of my post these code snippets derive from various other projects. Â In this example it shows a simulation of how one can determine if a set of t statistics are distributed properly. Â Th

Here is an example of nonparametric bootstrapping. Â It’s a powerful technique that is similar to the Jackknife. With the bootstrap, however, the approach uses re-sampling. It’s clearly

This stems from a couple of binomial distribution projects I have been working on recently. Â It’s widely known that there are many different flavors of confidence intervals for the binomial

Over the years I have worked with many people who do the field work to collect data. They have their process and it works for them. However, their work rarely extends beyond data collection. This o

It’s not quite the end of the world as we know it. Â We made it through December 21, 2012 unscathed. It’s not going to be the last time we will make it through such a pseudo-calamity. Â

The example is more of a statistical exercise that Â shows the true significance and the density curve of simulated random normal data. Â The code can be changed to generate data using either a dif

Recently I’ve been working on some jackknife and bootstrapping problems. Â While working on those projects I figured it would be a fun distraction to take the process and estimate pi. Â IR

Occasionally, I will get requests from clients to calculate the mean. Most of the time it’s a simple requestÂ but from time-to-time the data was originally from grouped data. A common approac