# Category: Class – Applied Statistics

## How To Do Predictive Statistics: Part I New (Free) Software Introduction

Introduction Here’s what we always want, but never get, using the old ways of doing statistics: The probability that some proposition Y is true given certain assumptions. Like this:      (1) Pr(Y […]

## Making Random Draws Is Nuts

Let’s do a little science experiment together. Go into the closet and pull out an opaque sack or bag. Anything will do, even a large sock. If you can fit your hand […]

## There Is No Prior? What’s A Bayesian To Do? Relax, There’s No Model, Either

I saw colleague Deborah Mayo casting, or rather trying to cast, aspersions on Bayesian philosophy by saying there is “no prior”. Bayesians might not agree, but it’s true. Mayo’s right. There is […]

## Lovely Example of Statistics Gone Bad

The graph above (biggified version here) was touted by Simon Kuestenmacher (who posts many beautiful maps). He said “This plot shows the objects that were found to be ‘the most distant object’ […]

## Choose Predictive Over Parametric Every Time

Gaze and wonder at picture which heads this article, which I lifted from John Haman’s nifty R package ciTools. The numbers in the plot are made up whole cloth to demonstrate the […]

## Correlation of Non-Procreative Sex & Lack of Traditional Religion

Gallup has published two new polls. The first estimates the percent of those desiring non-procreative sex in each state. The second guesses the percent of non-affiliation with traditional religion (Christianity). We can […]