Showing posts with label Statistics. Show all posts
Showing posts with label Statistics. Show all posts

Think Stats - Probability and Statistics for Programmers


 
 “Think Stats: Probability and Statistics for Programmers” by Allen B. Downey

Think Stats is an introduction to Probability and Statistics for Python programmers. If you have basic skills in Python, you can use them to learn concepts in probability and statistics. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions.

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SQL Server Statistics

 
“SQL Server Statistics” from Simple-Talk

Holger Schmeling’s work in SQL Server Distribution Statistics was first published as a pair of long articles for Simple-Talk. The booklet takes a practical, and well-informed approach to a subject that is not always easy to explain or understand. A Distribution Statistics object is a sampled map of the distribution of data in a table. Such statistics help the Query Optimizer of SQL Server’s Database Engine to translate the ‘logical’ SQL Query into the best strategy for doing all the physical operations of joining, sorting, and selecting the data. Most of the time, this work happens effectively without the database administrator having to be aware of what is going on, but occasionally, if the statistics no longer reflect what is actually in the table, then queries can suddenly run grindingly slow. At this point, the DBA must intervene to correct the problem.

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