Mean Median Mode using SQL and DAX

This article explains how to calculate the important statistical functions, MEAN, MEDIAN, and MODE, in both T-SQL and DAX.

Basic Concepts of Probability Explained with Examples in SQL Server and R

Many organizations have known the fact that data have been evolved from the by-product of corporate applications into a strategic asset [1]. Like other corporate assets, the asset requires specialized skills to maintain and analyze. With modern data analytic tools, for example Python, R, SAS and SPSS, IT professionals can build models and uncover previous unknown knowledge from the ocean of data.

How to Think Like the SQL Server Engine: Using Statistics to Build Query Plans

Every index has a matching statistic with the same name, and each statistic is a single 8KB page of metadata that describes the contents of your indexes. Stats have been around (and been mostly the same) for forever, so this is one of the places where SQL Server’s documentation really shines: Books Online has a ton of information about statistics. You honestly don’t need to know most of that – but if you wanna make a living performance tuning, there’s a ton of great stuff in there.

Customizing Statistics Histogram in SQL Server 2019

The use of statistics in SQL Server is tightly embedded in the query optimizer and query processor. The creation and maintenance of statistics is usually handled by the SQL Server engine, though many DBAs and developers know that periodically we might need to update those statistics to ensure good performance of queries. SQL Server 2019 gives us more options.

Auto Created Statistics

Finding & Fixing Statistics Without Histograms

Men Without Hats were awesome. Statistics without histograms are terrible, but now they're easy to find and fix.

Statistics not updated for the last 30 days

Find out-of-date statistics for 30 days

Introduction to Statistics

This article will give a brief overview of how statistics are generated, stored, and used in SQL Server.

Statistics in SQL: Student’s t-test

Many undergraduates have misunderstood the name 'Students' in the t-test to imply that it was designed as a simple test suitable for students. In fact it was William Sealy Gosset, an Englishman publishing under the pseudonym Student, who developed the t-test and t distribution in 1908, as a way of making confident predictions from small sample sizes of normally-distributed variables. As Gosset's employer was Guinness, the brewer, Phil Factor takes a sober view of calculating it in SQL.

Statistics in SQL: Simple Linear Regressions

Although linear regressions can get complicated, most jobs involving the plotting of a trendline are easy. Simple Linear Regression is handy for the SQL Programmer in making a prediction of a linear trend and giving a figure for the level probability for the prediction, and what is more, they are easy to do with the aggregation that is built into SQL.