In part two of the series, Paul Meagher has the latest posted over on DevShed - Implementing Bayesian Inference Using PHP: Part 2.

While the first article in this series discussed building intelligent Web applications through conditional probability, this Bayesian inference article examines how you can use Bayes methods to solve parameter estimation problems. Relevant concepts are explained in the context of Web survey analysis using PHP and JPGraph.

He shows you how, using the foundation from the first article, to create a web survey application. The "parameter estimation" he covers (the process of using sample data to estimate the value of a population parameter) helps you create meaningful information/stats from the data you've colleceted. the article also covers how to apply a few Bayes estimators to the mix to help with the interpretation.