mean

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mean,

in statistics, a type of averageaverage,
number used to represent or characterize a group of numbers. The most common type of average is the arithmetic mean. See median; mode.
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. The arithmetic mean of a group of numbers is found by dividing their sum by the number of members in the group; e.g., the sum of the seven numbers 4, 5, 6, 9, 13, 14, and 19 is 70 so their mean is 70 divided by 7, or 10. Less often used is the geometric mean (for two quantities, the square root of their product; for n quantities, the nth root of their product).
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mean

see MEASURES OF CENTRAL TENDENCY.
Collins Dictionary of Sociology, 3rd ed. © HarperCollins Publishers 2000

mean

[mēn]
(mathematics)
A single number that typifies a set of numbers, such as the arithmetic mean, the geometric mean, or the expected value. Also known as mean value.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.

mean

Maths
a. the second and third terms of a proportion, as b and c in a/b = c/d
b. another name for average See also geometric mean
Collins Discovery Encyclopedia, 1st edition © HarperCollins Publishers 2005

MEAN

(Mongo, Express, Angular, Node) A software stack for Web applications. MongoDB, Express.js, Angular and Node.js comprise the system software for running JavaScript and TypeScript-based Web applications. See Angular, MongoDB and Node.js.
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References in periodicals archive ?
In the charts, the process under control, also referred to as stable, demonstrates only random variations within the upper and lower control limits of both the X-bar R and the process variation (moving amplitude) charts.
X-bar charts were used to group the raw data for all creatinine tests ordered each week; the charts were "staged" according to when process changes were made.
And a chart of the control variable in time sequence of production will identify when the average value of the control parameter (x-bar) is out of control.
Thus, teaching x-bar diagrams from government binding syntax, optimality theory or competing theories is not a viable choice.
The two SPC tools presented here are the Pareto chart and the X-Bar and R chart.When using control charts to monitor a process, understand that they do not determine whether the product is good or bad, but, rather, whether the process is performing consistently.
Chapters 7-9 deal with some of the most insightful modern syntactic research: that is, X-bar syntax, the existence of the I-node, and movement, respectively.
If the average of a series of x values is written as x-bar (an x with a bar over it), then the average of a series of x-bars would be an x-bar-bar or x-double bar.
Standard features include use of SQL Server databases; user customized reports; standard SPC programs for X-bar, R and frequency distribution/histograms: the ability to recall, replot and rescale curves: selection of available standard test modules for a variety of applications; and user-configurable machine parameter and control settings.
Second, new DARTStats software is a statistical package that works with DARTVision to create X-bar, R-Bar, and histogram SPC charts for long-term analysis of machine performance data.
X-bar and R control charts (also called variable control charts) are tools used in industry to prevent defects.
Chapters 3 and 4 introduce hierarchical X-bar constituent structure and category membership, while Chapters 5 and 6 deal with how grammatical properties map lexical items onto syntactic structure.
Shewhart's[1] x-bar control chart has been used very widely in industries to detect the process mean shift.