Mean

Mean[list]

gives the statistical mean of the elements in list.

Mean[dist]

gives the mean of the symbolic distribution dist.

Details

  • Mean is also known as an expectation or average.
  • Mean is a location measure for data or distributions.
  • Mean[list] is equivalent to Total[list]/Length[list].
  • Mean handles both numerical and symbolic data.
  • Mean[{{x1,y1,},{x2,y2,},}] gives {Mean[{x1,x2,}],Mean[{y1,y2,}],}.
  • Mean[dist] is equivalent to Expectation[x,xdist].

Examples

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Basic Examples  (4)

Mean of numeric values:

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Mean of symbolic values:

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Means of elements in each column:

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Mean of a symbolic lognormal distribution:

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Scope  (14)

Applications  (11)

Properties & Relations  (15)

Possible Issues  (1)

Neat Examples  (1)

See Also

TrimmedMean  WinsorizedMean  Median  BiweightLocation  GeometricMean  HarmonicMean  ContraharmonicMean  MeanFilter  Total  StandardDeviation  Variance  RootMeanSquare  MeanDeviation  Standardize  Rescale  Commonest  Expectation

Tutorials

Introduced in 2003
(5.0)
| Updated in 2014
(10.0)