Deviations
in package
Table of Contents
Methods
- kurtosis() : string|int|float
- KURT.
- skew() : float|int|string
- SKEW.
- sumSquares() : string|float
- DEVSQ.
Methods
kurtosis()
KURT.
public
static kurtosis(array<string|int, mixed> ...$args) : string|int|float
Returns the kurtosis of a data set. Kurtosis characterizes the relative peakedness or flatness of a distribution compared with the normal distribution. Positive kurtosis indicates a relatively peaked distribution. Negative kurtosis indicates a relatively flat distribution.
Parameters
- $args : array<string|int, mixed>
-
Data Series
Return values
string|int|floatskew()
SKEW.
public
static skew(array<string|int, mixed> ...$args) : float|int|string
Returns the skewness of a distribution. Skewness characterizes the degree of asymmetry of a distribution around its mean. Positive skewness indicates a distribution with an asymmetric tail extending toward more positive values. Negative skewness indicates a distribution with an asymmetric tail extending toward more negative values.
Parameters
- $args : array<string|int, mixed>
-
Data Series
Return values
float|int|string —The result, or a string containing an error
sumSquares()
DEVSQ.
public
static sumSquares(mixed ...$args) : string|float
Returns the sum of squares of deviations of data points from their sample mean.
Excel Function: DEVSQ(value1[,value2[, ...]])
Parameters
- $args : mixed
-
Data values