Documentation/How Tos/Calc: SKEW function
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CALC FUNCTIONS
Measures of Central Tendency
Measures of dispersion / spread
Probability and statistics
Correlation and line fitting
See also (in the Array Function category); GROWTH, LINEST, LOGEST, TREND
Ranking
Contents
SKEW
Returns a measure of how skewed a distribution is.
Syntax:
SKEW(number1; number2; ... number30)
- number1 to number30 are up to 30 numbers or ranges/arrays containing numbers.
- SKEW returns a measure of how skewed a distribution is, relative to a normal distribution - that is, how asymmetric it is. Positive values indicate a distribution with a tail inclining to the positive side, and negative values a distribution with a tail inclining to the negative side. SKEW calculates:
- for the n >= 3 numbers having a standard deviation s > 0.
Example:
SKEW(A1:A30)
- returns a measure of how skewed the distribution of numbers in A1:A30 is.
SKEW(1; 3; 4; 5; 9)
- returns approximately 0.885, indicating that the tail of this (too small to be useful) distribution inclines to the positive.
SKEW(1; 3; 4; 5; 7)
- returns 0; the distribution is symmetric.
See Also