First compute the difference of each data point from the mean[clarification needed](how is this named?), and square the result of each:
What is the real, conventional term for this concept :
deviation from average/mean ?
deviation score/score deviation from average/mean ?
deviation error from average/mean ?
variance from average/mean ?
... (something else)
Naming each step properly is important for understanding. I'am beginner in statistic and unable to clarify this myself. May someone more knowledgeable dig a bit to clarify and link to the proper article. Yug(talk) 11:00, 18 November 2013 (UTC)
When you go to the shops do you give a name to every corner never mind every step? Dmcq (talk) 13:50, 18 November 2013 (UTC)
Probably worth looking at Errors and residuals in statistics. I'm not sure that, in practice, the difference from the mean is often referred to as a residual. The term 'residual' is more often used when you're fitting a statistical model such as a regression model—but you can think of estimating the mean as a 'zeroth order' statistical model, as done in the example in that article. Qwfp (talk) 16:08, 18 November 2013 (UTC)
In Bevington's statistics text I remember reading that these are called dispersions from the mean.Dave mathews86 (talk) 07:22, 4 February 2014 (UTC)
In industrial engineering and quality control we use sometimes R(range)/d2(n) to easily estimate an unbiased deviation from sample. The theory says it is very precise for n<10. I'm not a statistician so please correct me. -- 04:36, 11 February 2014 (UTC) — Preceding unsigned comment added by 184.108.40.206 (talk)