Statistical functions

Name: AVEDEV
Syntax: AVEDEV(<num1> [, <num2> ...])
Description: Returns the average of the absolute deviations of data points from their mean.
Version: 3.3
Example: AVEDEV(1, a1, {2, 3})

Name: AVERAGE
Syntax: AVERAGE(<numbers>[,< numbers >]*)
Description: Returns the average value of all the number arguments. References to empty and non-number cells are ignored.
Version: 1.0
Example: AVERAGE(A1:C3)
AVERAGE(A1,B2,B3)
AVERAGE(1.2,2.3,3.4)
AVERAGE(2*3, SUM(A1,A2))

Name: AVERAGEA
Syntax: AVERAGEA(<numbers>[,< numbers >]*)
Description: Returns the average of all the arguments. Text and FALSE arguments evaluate to zero. TRUE evaluates to 1.
Version: 3.0

Name: LARGE
Syntax: LARGE(<values>,n)
Description: Returns the nth largest value in a data set.
Version: 3.0

Name: MEDIAN
Syntax: MEDIAN(<numbers>[,<numbers]*)
Description: Returns the median of all the number arguments. Ignores arguments that do not evaluate to a number.
Version: 1.0
Example: MEDIAN(1) Evaluates to 1
MEDIAN(1,2) Evaluates to 1.5
MEDIAN(1,2,100) Evaluates to 2

Name: MODE
Syntax: MODE(<numbers>[,<numbers>]*)
Description: Returns the mode of all number arguments passed in. Arguments that do not evaluate to a number are ignored.
Version: 1.0
Example: MODE(1) Evaluates to 1
MODE(1,2) Evaluates to 1
MODE(1,2,2) Evaluates to 2

Name: NORMDIST
Syntax: NORMDIST(x, mean, standard_dev, cumulative)
Description: Returns the normal distribution for the specified mean and standard deviation.
Note that cumulative distribution is not currently supported.
Version: 1.3

Name: SMALL
Syntax: SMALL(<values>,n)
Description: Returns the nth smallest value in a data set.
Version: 3.0

Name: STDEV
Syntax: STDEV(<numbers>[,<numbers>]*)
Description: Returns the standard deviation of the numbers in the sample. The equation used is sqrt(sum((x-average(x))^2) / (n-1)) where x is each number and n is the size of the sample. Only numeric values are used.
Version: 1.1
Example: STDEV(a1:c3)
STDEV(1, 2, 3, 4)

Name: STDEVA
Syntax: STDEVA(<numbers>[,<numbers>]*)
Description: Returns the standard deviation of the numbers in the sample. The equation used is sqrt(sum((x-average(x))^2) / (n-1)) where x is each number and n is the size of the sample. Numeric, logical and text values are used.
Version: 1.1
Example: STDEVA(a1:c3)
STDEVA(1, 2, 3, 4)

Name: STDEVP
Syntax: STDEVP(<numbers>[,<numbers>]*)
Description: Returns the standard deviation of the numbers in the whole population. The equation used is sqrt(sum((x-average(x))^2) / n) where x is each number and n is the size of the population. Only numeric values are used.
Version: 1.1
Example: STDEVP(a1:c3)
STDEVP(1, 2, 3, 4)

Name: STDEVPA
Syntax: STDEVPA(<numbers>[,<numbers>]*)
Description: Returns the standard deviation of the numbers in the whole population. The equation used is sqrt(sum((x-average(x))^2) / n) where x is each number and n is the size of the population. Numeric, logical and text values are used.
Version: 1.1
Example: STDEVPA(a1:c3)
STDEVPA(1, 2, 3, 4)

Name: VAR
Syntax: VAR(<value1> [, <value2> ...])
Description: Calculates the variance based on a sample. Excludes logical values and text.
Version: 3.3
Example: VAR(1, 2)

Name: VARA
Syntax: VARA(<value1> [, <value2> ...])
Description: Calculates the variance based on a sample, including logical values and text. Text and FALSE have the value 0. TRUE has the value 1.
Version: 3.3
Example: VARA(1, 2, TRUE, "abc")

Name: VARP
Syntax: VARP(<value1> [, <value2> ...])
Description: Calculates the variance based on the entire population. Excludes logical values and text.
Version: 3.3
Example: VARP(1, 2)

Name: VARPA
Syntax: VARPA(<value1> [, <value2> ...])
Description: Calculates the variance based on the entire population, including logical values and text. Text and FALSE have the value 0. TRUE has the value 1.
Version: 3.3
Example: VARPA(1, 2, TRUE, "abc")

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