Quick Glossary: Statistics

For most modern enterprises, successful competitive analysis and business intelligence depend on collecting and analyzing a lot of data.

To turn that data into useful and actionable information for decision-makers, enterprises often use some form of statistical analysis.

This list of terms and concepts, from TechRepublic Premium, will help you get a general handle on statistics, even if you have never been trained in the actual science.

From the glossary:

CATEGORICAL VARIABLE

A categorical variable represents an observable characteristic that categorizes subjects into distinct groups or classes based on specific attributes or characteristics they possess. Unlike numerical variables, which contain quantitative data, categorical variables involve qualitative data and can be expressed in non-numeric terms.

The download comprises an eight-page PDF.

Previously priced at $49, this is now available to download for $19. Or free with Premium annual subscription: click here to find out more.

Subscribe to the TechRepublic Premium Exclusives Newsletter

Save time with the latest TechRepublic Premium downloads, including customizable IT & HR policy templates, glossaries, hiring kits, features, event coverage, and more. Exclusively for you! Delivered Tuesdays and Thursdays.

Subscribe to the TechRepublic Premium Exclusives Newsletter

Save time with the latest TechRepublic Premium downloads, including customizable IT & HR policy templates, glossaries, hiring kits, features, event coverage, and more. Exclusively for you! Delivered Tuesdays and Thursdays.

Resource Details

or

* Sign up for a TechRepublic Premium subscription for $299.99/year, and download this content as well as any other content in our library. Cancel anytime. Details here.

Provided by:
TechRepublic Premium
Published:
August 28, 2023
Topic:
TechRepublic Premium
Format:
PDF
or

* Sign up for a TechRepublic Premium subscription for $299.99/year, and download this content as well as any other content in our library. Cancel anytime. Details here.