File:Variance visualisation.svg

Original file ‎(SVG file, nominally 512 × 819 pixels, file size: 5 KB)

This file is from a shared repository and may be used by other projects. The description on its file description page there is shown below.

Wikipedia does not have a File page with this exact name.

Other reasons this message may be displayed:

If an image was recently created here, it may not be visible yet because of a delay in updating the database; wait a few minutes or try the purge function.
Titles on Wikipedia are case sensitive except for the first character; please check alternative capitalizations and consider adding a redirect here to the correct title.
If the page has been deleted, check the deletion log, and see Why was the page I created deleted?

File history

Click on a date/time to view the file as it appeared at that time.

	Date/Time	Thumbnail	Dimensions	User	Comment
current	20:59, 8 April 2015		512 × 819 (5 KB)	Cmglee	{{Information \|Description ={{en\|1=Geometric visualisation of the variance of the example distribution (2, 4, 4, 4, 5, 5, 7, 9) on w:Standard deviation. 1. A frequency distribution is constructed. 2. The centroid of the distribution gives its...

The following file is a duplicate of this file (more details):

The following page uses this file:

This file contains additional information, probably added from the digital camera or scanner used to create or digitize it.

If the file has been modified from its original state, some details may not fully reflect the modified file.

Short title	Variance visualisation
Image title	Geometric visualisation of the variance of the example distribution (2, 4, 4, 4, 5, 5, 7, 9) on http://en.wikipedia.org/wiki/Standard_deviation by CMG Lee. 1. A frequency distribution is constructed. 2. The centroid of the distribution gives its mean. 3. A square with sides equal to the difference of each value from the mean is formed for each value. 4. Arranging the squares into a rectangle with one side equal to the number of values (n) results in the other side being equal to the variance of the distribution (σ²).
Width	100%
Height	100%