There have been a number of April fools jokes today so I thought I’d add my own to the list. While this sounds unexpected it’s actually no joke.
I just accepted a position with Oracle yesterday but I can’t say any more about the details until the MySQL users conference in a few weeks.
A special thanks to Lenz, Kaj & Giuseppe that championed everything to make it all happen, I really didn’t have to do anything other then accept.
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.
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.
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.
