What’s in a Wiki?

I’ve been wondering what exactly is a wiki? It’s also not the first time I’ve been asked myself. Here is an explaination I came across.

A wiki, from the Hawaiian term for “quick,” is an ongoing, ever-evolving, organized compilation of information.

The theory behind wikis is simple: One know-it-all is not enough; more is better. Unlike other Web sites created and managed by a single person or entity, wikis are truly for the people, by the people. But the model has also come under fire, underscoring the danger of wikis: it’s open to everyone, including pranksters and those with an ax to grind or want to revise history in their favor.

Wiki’s enable a mass collaboration to build all kinds of things. It is becoming a new model for doing things on the Internet. The software is not magic, you can’t throw up a wiki and hope a miracle will occur. It takes thoughtful people to make it run.

Wikimania is growing dramatically. In October, 16.3 million people visited Wikipedia, a 267 percent increase from the same month last year, according to Nielsen/NetRatings. Overall, the site has compiled 2.6 million articles, including 840,000 in English.

Tagged with: General

Producing Alternative Means statistics with SQL

MySQL’s built-in AVG() computes the arithmetic mean — the sum divided by the count. That is the right default for many questions, but it is not always the right measure of central tendency.

Extending MySQL Capabilities with UDFs, Plugins and Components

MySQL offers three different approaches to extending the SQL capabilities with the default product you download and install. These are: User Defined Function (UDF) MySQL Manual MySQL Plugin MySQL Manual MySQL Component MySQL Manual For the purposes of this post I will be using the current LTS version MySQL 8.

Producing One-Sample Z-Test statistics with SQL

The one-sample Z-test determines whether a sample mean differs significantly from a known population mean when the population standard deviation is also known. It is the appropriate test when the population parameters are established — quality control benchmarks, national averages, long-run process measurements — and you want to evaluate whether a new sample is consistent with them.