D5ZGD‖Statistical Functions Part Five

Contents

# JzHCG‖Statistical Functions Part Five

## Xv6GF‖SKEWP

cuNXs‖Calculates the skewness of a distribution using the population of a random variable.

CBpb7‖This function is available since LibreOffice 4.1.

### ebLBc‖Syntax

TfkdP‖SKEWP(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

Af6Mq‖The parameters should specify at least three values.

rBWwb‖This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

### GAZG2‖Examples

Q2i35‖SKEWP(2;3;1;6;8;5) returns 0.2329985562

TAGzC‖SKEWP(A1:A6) returns 0.2329985562, when the range A1:A6 contains {2;3;1;6;8;5}

7Zaup‖

## 3CGrL‖NORMSINV

YuWPN‖Returns the inverse of the standard normal cumulative distribution.

#### GSbiK‖Syntax

ALdZE‖NORMSINV(Number)

zLtBC‖ Number is the probability to which the inverse standard normal distribution is calculated.

#### MiUAf‖Example

DDCND‖ =NORMSINV(0.908789) returns 1.3333.

KZbxH‖

## 4moi3‖PERMUTATIONA

hAt4K‖Returns the number of permutations for a given number of objects (repetition allowed).

#### GSbiK‖Syntax

q5ynj‖PERMUTATIONA(Count1; Count2)

R8ZdG‖ Count1 is the total number of objects.

Jd2MD‖ Count2 is the number of objects in each permutation.

#### MiUAf‖Example

AD2BB‖How often can 2 objects be selected from a total of 11 objects?

pNAD7‖ =PERMUTATIONA(11;2) returns 121.

EFMEA‖ =PERMUTATIONA(6;3) returns 216. There are 216 different possibilities to put a sequence of 3 playing cards together out of six playing cards if every card is returned before the next one is drawn.

EKx43‖

## 4ybyR‖T.INV.2T

Q2L6M‖Calculates the inverse of the two-tailed Student's T Distribution , which is a continuous probability distribution that is frequently used for testing hypotheses on small sample data sets.

#### GSbiK‖Syntax

GMBDX‖T.INV.2T(Number; DegreesFreedom)

n5Dv2‖Number is the probability associated with the two-tailed t-distribution.

q8qcs‖DegreesFreedom is the number of degrees of freedom for the t-distribution.

#### MiUAf‖Example

C3tvw‖=T.INV.2T(0.25; 10) returns 1.221255395.

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.T.INV.2T

tBCoG‖

## 5XQDB‖NORMSDIST

89BGS‖Returns the standard normal cumulative distribution function. The distribution has a mean of zero and a standard deviation of one.

uQGAH‖It is GAUSS(x)=NORMSDIST(x)-0.5

#### GSbiK‖Syntax

sMGuX‖NORMSDIST(Number)

HGZwi‖ Number is the value to which the standard normal cumulative distribution is calculated.

#### MiUAf‖Example

NSCJg‖ =NORMSDIST(1) returns 0.84. The area below the standard normal distribution curve to the left of X value 1 is 84% of the total area.

edgDi‖

## 6G6DT‖WEIBULL

qsBet‖Returns the values of the Weibull distribution.

GEAGn‖The Weibull distribution is a continuous probability distribution, with parameters Alpha > 0 (shape) and Beta > 0 (scale).

QWU8W‖If C is 0, WEIBULL calculates the probability density function.

gLsBV‖If C is 1, WEIBULL calculates the cumulative distribution function.

#### GSbiK‖Syntax

XaFap‖WEIBULL(Number; Alpha; Beta; C)

KBvNA‖ Number is the value at which to calculate the Weibull distribution.

Jddoz‖ Alpha is the shape parameter of the Weibull distribution.

A8DAw‖ Beta is the scale parameter of the Weibull distribution.

TaCrS‖ C indicates the type of function.

#### MiUAf‖Example

SsKVv‖ =WEIBULL(2;1;1;1) returns 0.86.

Lb5Q7‖See also the Wiki page.

mwhG2‖

## 7ADZs‖STDEVP

RqGNB‖Calculates the standard deviation based on the entire population.

#### GSbiK‖Syntax

XvxEH‖STDEVP(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

rBWwb‖This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### MiUAf‖Example

UdyBS‖ =STDEVP(A1:A50) returns a standard deviation of the data referenced.

qbeNb‖

## 7Ba4B‖VARPA

mZp8D‖Calculates the variance based on the entire population. The value of text is 0.

#### GSbiK‖Syntax

oYZae‖VARPA(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

#### MiUAf‖Example

QhUDX‖ =VARPA(A1:A50)

9EGUD‖

## 7pk6M‖WEIBULL.DIST

6o2Cy‖Returns the values of the Weibull distribution.

LwAmW‖The Weibull distribution is a continuous probability distribution, with parameters Alpha > 0 (shape) and Beta > 0 (scale).

EDiFD‖If C is 0, WEIBULL.DIST calculates the probability density function.

DTAzF‖If C is 1, WEIBULL.DIST calculates the cumulative distribution function.

#### GSbiK‖Syntax

UNtn7‖WEIBULL.DIST(Number; Alpha; Beta; C)

xfWGd‖Number is the value at which to calculate the Weibull distribution.

AFFdf‖Alpha is the shape parameter of the Weibull distribution.

PAFkr‖Beta is the scale parameter of the Weibull distribution.

N73Gk‖C indicates the type of function.

#### MiUAf‖Example

TRrFW‖=WEIBULL.DIST(2;1;1;1) returns 0.8646647168.

#### XAFa7‖Technical information

2cFVC‖This function is available since LibreOffice 4.2.

UoyLi‖See also the Wiki page.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.WEIBULL.DIST

UVjyN‖

## ACDN3‖T.DIST.2T

BQQUu‖Calculates the two-tailed Student's T Distribution, which is a continuous probability distribution that is frequently used for testing hypotheses on small sample data sets.

#### GSbiK‖Syntax

WoA66‖T.DIST.2T(Number; DegreesFreedom)

b8Lwi‖Number is the value for which the t-distribution is calculated.

D3pNQ‖DegreesFreedom is the number of degrees of freedom for the t-distribution.

#### MiUAf‖Example

jPG5M‖=T.DIST.2T(1; 10) returns 0.3408931323.

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.T.DIST.2T

ftBBR‖

## EmaSo‖TDIST

2xGgE‖Returns the t-distribution.

#### GSbiK‖Syntax

HtP3s‖TDIST(Number; DegreesFreedom; Mode)

cCqZx‖ Number is the value for which the t-distribution is calculated.

EBQZk‖ DegreesFreedom is the number of degrees of freedom for the t-distribution.

TKfPX‖ Mode = 1 returns the one-tailed test, Mode = 2 returns the two-tailed test.

#### MiUAf‖Example

nW9pt‖ =TDIST(12;5;1)

nsdER‖

## EwFyU‖T.INV

79pwY‖Returns the one tailed inverse of the t-distribution.

#### GSbiK‖Syntax

aRfT9‖T.INV(Number; DegreesFreedom)

URJZA‖Number is the probability associated with the one-tailed t-distribution.

7mE8e‖DegreesFreedom is the number of degrees of freedom for the t-distribution.

#### MiUAf‖Example

wYCXA‖=T.INV(0.1;6) returns -1.4397557473.

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.T.INV

BZXVv‖

## GCgCV‖RANK.EQ

UptAA‖Returns the statistical rank of a given value, within a supplied array of values. If there are duplicate values in the list, these are given the same rank.

CgFxq‖The difference between RANK.AVG and RANK.EQ occurs when there are duplicates in the list of values. The RANK.EQ function returns the lower rank, whereas the RANK.AVG function returns the average rank.

#### GSbiK‖Syntax

bGAcu‖RANK.EQ(Value; Data [; Type])

mncnk‖Value is the value, whose rank is to be determined.

X9Bs8‖Data is the array or range of data in the sample.

SCPY6‖Type (optional) is the sequence order.

EcBcF‖Type = 0 means descending from the last item of the array to the first (this is the default),

64Sc2‖Type = 1 means ascending from the first item of the range to the last.

#### MiUAf‖Example

BhfPj‖=RANK.EQ(A10;A1:A50) returns the ranking of the value in A10 in value range A1:A50. If Value does not exist within the range an error message is displayed.

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.RANK.EQ

VJEcn‖

## GwrtD‖PROB

VunzE‖Returns the probability that values in a range are between two limits. If there is no End value, this function calculates the probability based on the principle that the Data values are equal to the value of Start.

#### GSbiK‖Syntax

GhGG7‖PROB(Data; Probability; Start [; End])

8HEDs‖ Data is the array or range of data in the sample.

oVVrY‖ Probability is the array or range of the corresponding probabilities.

nNDyS‖ Start is the start value of the interval whose probabilities are to be summed.

yAsAe‖ End (optional) is the end value of the interval whose probabilities are to be summed. If this parameter is missing, the probability for the Start value is calculated.

#### MiUAf‖Example

4aVvD‖ =PROB(A1:A50;B1:B50;50;60) returns the probability with which a value within the range of A1:A50 is also within the limits between 50 and 60. Every value within the range of A1:A50 has a probability within the range of B1:B50.

REYKA‖

## L4gtc‖RANK

r5Q99‖Returns the rank of a number in a sample.

#### GSbiK‖Syntax

oVk4F‖RANK(Value; Data [; Type])

nLFDw‖ Value is the value, whose rank is to be determined.

ftj5J‖ Data is the array or range of data in the sample.

Cd8C2‖ Type (optional) is the sequence order.

PrJu5‖Type = 0 means descending from the last item of the array to the first (this is the default),

iTDKV‖Type = 1 means ascending from the first item of the range to the last.

rBWwb‖This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### MiUAf‖Example

YJCkk‖ =RANK(A10;A1:A50) returns the ranking of the value in A10 in value range A1:A50. If Value does not exist within the range an error message is displayed.

HMDp5‖

## L58ws‖VAR.S

x9qqg‖Estimates the variance based on a sample.

#### GSbiK‖Syntax

WWhEs‖VAR.S(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

GGJFX‖The parameters should specify at least two values.

#### MiUAf‖Example

GMEXA‖=VAR.S(A1:A50)

#### XAFa7‖Technical information

2cFVC‖This function is available since LibreOffice 4.2.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.VAR.S

YJcDx‖

## LA4Ao‖STDEVPA

dSTBR‖Calculates the standard deviation based on the entire population.

#### GSbiK‖Syntax

GFBSj‖STDEVPA(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

DL6D2‖Text has the value 0.

#### MiUAf‖Example

o65AQ‖ =STDEVPA(A1:A50) returns the standard deviation of the data referenced.

YwEEi‖

## MVc6H‖TTEST

mT5Vx‖Returns the probability associated with a Student's t-Test.

#### GSbiK‖Syntax

zq4xu‖TTEST(Data1; Data2; Mode; Type)

csfeJ‖ Data1 is the dependent array or range of data for the first record.

LGBLL‖ Data2 is the dependent array or range of data for the second record.

B55wG‖ Mode = 1 calculates the one-tailed test, Mode = 2 the two- tailed test.

TJ4as‖ Type is the kind of t-test to perform. Type 1 means paired. Type 2 means two samples, equal variance (homoscedastic). Type 3 means two samples, unequal variance (heteroscedastic).

#### MiUAf‖Example

2RXdG‖ =TTEST(A1:A50;B1:B50;2;2)

XB5wG‖

## V2ZSr‖STDEV.S

wyNdS‖Calculates the standard deviation based on sample of the population.

#### GSbiK‖Syntax

mQvQQ‖STDEV.S(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

fPUck‖The parameters should specify at least two values.

#### MiUAf‖Example

9GmUP‖=STDEV.S(A1:A50) returns a standard deviation of the data referenced.

#### XAFa7‖Technical information

2cFVC‖This function is available since LibreOffice 4.2.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.STDEV.S

hYnhT‖

## VznXr‖T.DIST.RT

R6F8r‖Calculates the right-tailed Student's T Distribution, which is a continuous probability distribution that is frequently used for testing hypotheses on small sample data sets.

#### GSbiK‖Syntax

EXm8o‖T.DIST.RT(Number; DegreesFreedom)

dkd8f‖Number is the value for which the t-distribution is calculated.

AYDBG‖DegreesFreedom is the number of degrees of freedom for the t-distribution.

#### MiUAf‖Example

iZJBg‖=T.DIST.RT(1; 10) returns 0.1704465662.

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.T.DIST.RT

jUrA3‖

## W8n8M‖STANDARDIZE

pu4sF‖Converts a random variable to a normalized value.

#### GSbiK‖Syntax

zo3zn‖STANDARDIZE(Number; Mean; StDev)

duG7A‖ Number is the value to be standardized.

zcspc‖ Mean is the arithmetic mean of the distribution.

jv2zx‖ StDev is the standard deviation of the distribution.

#### MiUAf‖Example

ocHfq‖ =STANDARDIZE(11;10;1) returns 1. The value 11 in a normal distribution with a mean of 10 and a standard deviation of 1 is as much above the mean of 10, as the value 1 is above the mean of the standard normal distribution.

FjxMm‖

## XnpiE‖FORECAST

KY2tt‖Extrapolates future values based on existing x and y values.

#### GSbiK‖Syntax

ifwDD‖FORECAST(Value; DataY; DataX)

sHLze‖ Value is the x value, for which the y value on the linear regression is to be returned.

A4NaS‖ DataY is the array or range of known y's.

K6FnG‖ DataX is the array or range of known x's.

#### MiUAf‖Example

Qu5Ld‖ =FORECAST(50;A1:A50;B1;B50) returns the Y value expected for the X value of 50 if the X and Y values in both references are linked by a linear trend.

bKDgg‖

## YPiC5‖NORM.S.DIST

FCMzg‖Returns the standard normal cumulative distribution function. The distribution has a mean of zero and a standard deviation of one.

#### GSbiK‖Syntax

iUVFG‖NORM.S.DIST(Number; Cumulative)

3atKp‖ Number is the value to which the standard normal cumulative distribution is calculated.

ieYVe‖ Cumulative 0 or FALSE calculates the probability density function. Any other value or TRUE calculates the cumulative distribution function.

#### MiUAf‖Example

yZcBH‖ =NORM.S.DIST(1;0) returns 0.2419707245.

YHwfB‖ =NORM.S.DIST(1;1) returns 0.8413447461. The area below the standard normal distribution curve to the left of X value 1 is 84% of the total area.

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.NORM.S.DIST

EaGD7‖

## apaEv‖STDEVA

N8C7m‖Calculates the standard deviation of an estimation based on a sample.

#### GSbiK‖Syntax

XqtA2‖STDEVA(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

iK7Ch‖The parameters should specify at least two values. Text has the value 0.

#### MiUAf‖Example

DT9hr‖ =STDEVA(A1:A50) returns the estimated standard deviation based on the data referenced.

TwYFw‖

## bc9Gc‖DEVSQ

JBxFx‖Returns the sum of squares of deviations based on a sample mean.

#### GSbiK‖Syntax

UfosN‖DEVSQ(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

rBWwb‖This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### MiUAf‖Example

zxpYR‖ =DEVSQ(A1:A50)

LwqQM‖

## f9YTs‖T.DIST

dJG6o‖Returns the t-distribution.

#### GSbiK‖Syntax

rDhhb‖T.DIST(Number; DegreesFreedom; Cumulative)

4FKAB‖Number is the value for which the t-distribution is calculated.

wpDjC‖DegreesFreedom is the number of degrees of freedom for the t-distribution.

2vsex‖Cumulative = 0 or FALSE returns the probability density function, 1 or TRUE returns the cumulative distribution function.

#### MiUAf‖Example

dCwQU‖=T.DIST(1; 10; TRUE) returns 0.8295534338

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.T.DIST

Z4X2Z‖

## fboaH‖PERMUT

r2A4C‖Returns the number of permutations for a given number of objects.

#### GSbiK‖Syntax

ADCFF‖PERMUT(Count1; Count2)

MXtGH‖ Count1 is the total number of objects.

XFycF‖ Count2 is the number of objects in each permutation.

#### MiUAf‖Example

2L3aE‖ =PERMUT(6;3) returns 120. There are 120 different possibilities, to pick a sequence of 3 playing cards out of 6 playing cards.

8pa3T‖

## foGeW‖SLOPE

Bwv8X‖Returns the slope of the linear regression line. The slope is adapted to the data points set in the y and x values.

#### GSbiK‖Syntax

BVsrF‖SLOPE(DataY; DataX)

DJmjL‖ DataY is the array or matrix of Y data.

6Az8w‖ DataX is the array or matrix of X data.

#### MiUAf‖Example

EGV8S‖ =SLOPE(A1:A50;B1:B50)

FiZJG‖

## gETzF‖VAR

FJkXo‖Estimates the variance based on a sample.

#### GSbiK‖Syntax

P3bbE‖VAR(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

qsPg5‖The parameters should specify at least two values.

rBWwb‖This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### MiUAf‖Example

Ek5zS‖ =VAR(A1:A50)

AiEsw‖

## jFYuL‖T.TEST

yKgDs‖Returns the probability associated with a Student's t-Test.

#### GSbiK‖Syntax

LEBMk‖T.TEST(Data1; Data2; Mode; Type)

2EVfF‖Data1 is the dependent array or range of data for the first record.

gPGf8‖Data2 is the dependent array or range of data for the second record.

MtzXe‖Mode = 1 calculates the one-tailed test, Mode = 2 the two- tailed test.

PDqCm‖Type is the kind of t-test to perform. Type 1 means paired. Type 2 means two samples, equal variance (homoscedastic). Type 3 means two samples, unequal variance (heteroscedastic).

#### MiUAf‖Example

DaBTK‖=T.TEST(A1:A50;B1:B50;2;2)

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.T.TEST

CERq4‖

## mvuF7‖STEYX

3thQX‖Returns the standard error of the predicted y value for each x in the regression.

#### GSbiK‖Syntax

rW9ZG‖STEYX(DataY; DataX)

YCXSA‖ DataY is the array or matrix of Y data.

GFrsY‖ DataX is the array or matrix of X data.

#### MiUAf‖Example

x2EjB‖ =STEYX(A1:A50;B1:B50)

LAUht‖

## sSB2A‖TINV

u5WNS‖Returns the inverse of the t-distribution.

#### GSbiK‖Syntax

ysECn‖TINV(Number; DegreesFreedom)

eAz7Y‖ Number is the probability associated with the two-tailed t-distribution.

WJ33t‖ DegreesFreedom is the number of degrees of freedom for the t-distribution.

#### MiUAf‖Example

hyDP4‖ =TINV(0.1;6) returns 1.94

VfCoQ‖

## t3soV‖VARP

oHjST‖Calculates a variance based on the entire population.

#### GSbiK‖Syntax

sjXgb‖VARP(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

rBWwb‖This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### MiUAf‖Example

DMSxQ‖ =VARP(A1:A50)

czGrG‖

## tcxC7‖STDEV.P

e3KAU‖Calculates the standard deviation based on the entire population.

#### GSbiK‖Syntax

TYmoZ‖STDEV.P(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

#### MiUAf‖Example

9PAi8‖=STDEV.P(A1:A50) returns a standard deviation of the data referenced.

#### XAFa7‖Technical information

2cFVC‖This function is available since LibreOffice 4.2.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.STDEV.P

D7JMM‖

## uFVkp‖SKEW

D3fiC‖Returns the skewness of a distribution.

#### GSbiK‖Syntax

APKJH‖SKEW(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

BmsyE‖The parameters should specify at least three values.

rBWwb‖This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### MiUAf‖Example

n2mev‖ =SKEW(A1:A50) calculates the value of skew for the data referenced.

vDJ2n‖

## uasGU‖NORM.S.INV

Q4MdM‖Returns the inverse of the standard normal cumulative distribution.

#### GSbiK‖Syntax

uuqGW‖NORM.S.INV(Number)

oGcGJ‖ Number is the probability to which the inverse standard normal distribution is calculated.

#### MiUAf‖Example

GXTJP‖ =NORM.S.INV(0.908789) returns 1.333334673.

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.NORM.S.INV

JSFnA‖

## wcKih‖FORECAST.LINEAR

NYDH5‖Extrapolates future values based on existing x and y values.

#### GSbiK‖Syntax

rAm7T‖FORECAST.LINEAR(Value; DataY; DataX)

yQHEk‖ Value is the x value, for which the y value on the linear regression is to be returned.

ApBYo‖ DataY is the array or range of known y's.

jQmte‖ DataX is the array or range of known x's.

#### MiUAf‖Example

mdJYt‖ =FORECAST.LINEAR(50;A1:A50;B1;B50) returns the Y value expected for the X value of 50 if the X and Y values in both references are linked by a linear trend.

#### XAFa7‖Technical information

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.FORECAST.LINEAR

FyaGk‖

## xBBwp‖VARA

omDED‖Estimates a variance based on a sample. The value of text is 0.

#### GSbiK‖Syntax

oXnZK‖VARA(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

KSAnB‖The parameters should specify at least two values.

#### MiUAf‖Example

gxH7r‖ =VARA(A1:A50)

pdGYd‖

## ynDwy‖RANK.AVG

EWhCU‖Returns the statistical rank of a given value, within a supplied array of values. If there are duplicate values in the list, the average rank is returned.

BmBW6‖The difference between RANK.AVG and RANK.EQ occurs when there are duplicates in the list of values. The RANK.EQ function returns the lower rank, whereas the RANK.AVG function returns the average rank.

#### GSbiK‖Syntax

f8zpD‖RANK.AVG(Value; Data [; Type])

9jn8F‖Value is the value, whose rank is to be determined.

B7Rub‖Data is the array or range of data in the sample.

y7boJ‖Type (optional) is the sequence order.

J7EAf‖Type = 0 means descending from the last item of the array to the first (this is the default),

KAjCp‖Type = 1 means ascending from the first item of the range to the last.

#### MiUAf‖Example

zDZBh‖=RANK.AVG(A10;A1:A50) returns the ranking of the value in A10 in value range A1:A50. If Value does not exist within the range an error message is displayed.

#### XAFa7‖Technical information

iV7XA‖This function is available since LibreOffice 4.3.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.RANK.AVG

WvmVF‖

## yrzYZ‖STDEV

CwwQ9‖Estimates the standard deviation based on a sample.

#### GSbiK‖Syntax

9Sjc9‖STDEV(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

H3V9F‖The parameters should specify at least two values.

rBWwb‖This function ignores any text or empty cell within a data range. If you suspect wrong results from this function, look for text in the data ranges. To highlight text contents in a data range, use the value highlighting feature.

#### MiUAf‖Example

S754h‖=STDEV(A1:A50) returns the estimated standard deviation based on the data referenced.

BEbXy‖

## zbjYA‖VAR.P

6BSTC‖Calculates a variance based on the entire population.

#### GSbiK‖Syntax

CqLAt‖VAR.P(Argument 1 [; Argument 2 [; … [; Argument 255]]])

HFBBv‖Argument 1; Argument 2; … ; Argument 255 are numbers, text, references to cells or to cell ranges of numbers or text.

#### MiUAf‖Example

zF5Ys‖=VAR.P(A1:A50)

#### XAFa7‖Technical information

2cFVC‖This function is available since LibreOffice 4.2.

2C7vt‖This function is NOT part of the Open Document Format for Office Applications (OpenDocument) Version 1.3. Part 4: Recalculated Formula (OpenFormula) Format standard. The name space is

COM.MICROSOFT.VAR.P

Related Topics

Functions by Category

Please support us!