Funcións financeiras Parte III

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# Funcións estatísticas Parte V

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## SKEWP

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

This function is available since LibreOffice 4.1

### Sintaxe

SKEWP(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are up to 30 numerical values or ranges.

Calculates the skewness of a distribution using the population, i.e. the possible outcomes, of a random variable. The sequence shall contain three numbers at least.

This function is part of the Open Document Format for Office Applications (OpenDocument) standard Version 1.2. (ISO/IEC 26300:2-2015)

### Exemplos

SKEWP(2;3;1;6;8;5) returns 0.2828158928

SKEWP(A1:A6) returns 0.2828158928, when the range A1:A6 contains {2;3;1;6;8;5}

SKEWP(Number1; Number2) always returns zero, if Number1 and Number2 results in two numbers.

SKEWP(Number1) returns Err:502 (Invalid argument) if Number1 results in one number, because SKEWP cannot be calculated with one value.

## DESVCAD

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

### Sintaxe

DEVSQ(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges representing a sample.

### Exemplo

DISTT

## DESVEST

Calcula o desvío estándar con base na poboación total.

### Sintaxe

STDEV(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges representing a sample based on an entire population.

### Exemplo

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

## DESVESTA

Calcula o desvío estándar con base na poboación total.

### Sintaxe

STDEVA(Value1; Value2; ...; Value30)

Value1, Value2, ..., Value30 are values or ranges representing a sample derived from an entire population. Text has the value 0.

### Exemplo

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

## DESVESTP

Calcula o desvío estándar con base na poboación total.

### Sintaxe

STDEVP(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges representing an entire population.

### Exemplo

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

## DESVESTP

Calcula o desvío estándar con base na poboación total.

This function is available since LibreOffice 4.2

### Sintaxe

STDEV.P(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges representing an entire population.

### Exemplo

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

## DESVESTP

Calcula o desvío estándar con base na poboación total.

This function is available since LibreOffice 4.2

### Sintaxe

STDEV.S(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges representing a sample of the population.

### Exemplo

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

## DESVESTPA

Calcula o desvío estándar con base na poboación total.

### Sintaxe

STDEVPA(Value1; Value2; ...; Value30)

Value1, Value2, ..., Value30 are values or ranges representing an entire population. Text has the value 0.

### Exemplo

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

## DISTNORMESTÁND

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

It is GAUSS(x)=NORMSDIST(x)-0.5

### Sintaxe

NORMSDIST(número)

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

### Exemplo

=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.

## DISTNORMESTÁND

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

This function is available since LibreOffice 4.3

### Sintaxe

NORM.S.DIST(Number; Cumulative)

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

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

### Exemplo

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

=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.

## DISTORSIÓN

Devolve a asimetría dunha distribución.

### Sintaxe

SKEW(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges.

### Exemplo

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

## DISTT

Devolve a distribución t.

### Sintaxe

TDIST(Number; DegreesFreedom; Mode)

X é o valor no cal a función será calculada.

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

O modo = 1 devolve o test dunha cola e o modo = 2 devolve o test con dúas colas.

### Exemplo

DISTT

## DISTT

Devolve a distribución t.

This function is available since LibreOffice 4.3

### Sintaxe

T.DIST(Number; DegreesFreedom; Cumulative)

X é o valor no cal a función será calculada.

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

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

### Exemplo

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

## ERROTIPOYX

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

### Sintaxe

STEYX(DataY; DataX)

DataY is the array or matrix of Y data.

DataX is the array or matrix of X data.

### Exemplo

COVAR(A1:A3; B1:B30)

Función

## ESTANDARIZAR

Converte unha variábel aleatoria nun valor normalizado.

### Sintaxe

STANDARDIZE(Number; Mean; StDev)

Número é o número a ser convertido.

Mean is the arithmetic mean of the distribution.

StDev is the standard deviation of the distribution.

### Exemplo

=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.

## FORECAST.LINEAR

Extrapolates future values based on existing x and y values.

### Sintaxe

FORECAST.LINEAR(Value; DataY; DataX)

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

Servizos representa a matriz dos valores límite.

Servizos representa a matriz dos valores límite.

### Exemplo

=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.

## INCLINACIÓN

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

### Sintaxe

SLOPE(DataY; DataX)

DataY is the array or matrix of Y data.

DataX is the array or matrix of X data.

### Exemplo

COVAR(A1:A3; B1:B30)

## INVNORMESTÁND

Devolve os valores da distribución de Weibull.

### Sintaxe

NORMSDIST(número)

X é o valor no cal a función será calculada.

### Exemplo

=NORMSINV(0.908789) devolve 1,3333.

## INVNORMESTÁND

Devolve os valores da distribución de Weibull.

This function is available since LibreOffice 4.3

### Sintaxe

NORMSDIST(número)

X é o valor no cal a función será calculada.

### Exemplo

=NORMSINV(0.908789) devolve 1,3333.

## INVT

Devolve a asimetría dunha distribución.

### Sintaxe

TINV(Number; DegreesFreedom)

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

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

### Exemplo

ODD(-2) dá -3

## INVT

Devolve a asimetría dunha distribución.

This function is available since LibreOffice 4.3

### Sintaxe

T.INV(Number; DegreesFreedom)

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

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

### Exemplo

ODD(-2) dá -3

## PERMUTACIÓN

Devolve a cantidade de permutacións para un número determinado de elementos (repetición permitida).

### Sintaxe

PERMUT(Count1; Count2)

Count1 is the total number of objects.

Count2 is the number of objects in each permutation.

### Exemplo

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

## PERMUTACIÓNA

Devolve a cantidade de permutacións para un número determinado de elementos (repetición permitida).

### Sintaxe

PERMUTATIONA(Count1; Count2)

Count1 is the total number of objects.

Count2 is the number of objects in each permutation.

### Exemplo

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

O PERMUTATIONA(2; 3) devolve 8

=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.

## PROB

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.

### Sintaxe

PROB(Data; Probability; Start; End)

Servizos representa a matriz dos valores límite.

Probability is the array or range of the corresponding probabilities.

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

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.

### Exemplo

=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.

## PROGNÓSTICO

Extrapolates future values based on existing x and y values.

### Sintaxe

FORECAST(Value; DataY; DataX)

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

Servizos representa a matriz dos valores límite.

Servizos representa a matriz dos valores límite.

### Exemplo

=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.

## RANGO

Returns the rank of a number in a sample.

### Sintaxe

RANK(Value; Data; Type)

Número é o número cuxo sinal está a ser determinado.

Servizos representa a matriz dos valores límite.

Type (optional) is the sequence order.

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

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

### Exemplo

=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.

## RANK.AVG

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.

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.

This function is available since LibreOffice 4.3

### Sintaxe

RANK.AVG(Value; Data; Type)

Número é o número cuxo sinal está a ser determinado.

Servizos representa a matriz dos valores límite.

Type (optional) is the sequence order.

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

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

### Exemplo

=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.

## RANK.EQ

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.

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.

This function is available since LibreOffice 4.3

### Sintaxe

RANK.EQ(Value; Data; Type)

Número é o número cuxo sinal está a ser determinado.

Servizos representa a matriz dos valores límite.

Type (optional) is the sequence order.

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

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

### Exemplo

=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.

## T.DIST.2T

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.

This function is available since LibreOffice 4.3

### Sintaxe

T.DIST.2T(Number; DegreesFreedom)

X é o valor no cal a función será calculada.

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

### Exemplo

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

## T.DIST.RT

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.

This function is available since LibreOffice 4.3

### Sintaxe

T.DIST.RT(Number; DegreesFreedom)

X é o valor no cal a función será calculada.

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

### Exemplo

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

## T.INV.2T

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.

This function is available since LibreOffice 4.3

### Sintaxe

T.INV.2T(Number; DegreesFreedom)

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

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

### Exemplo

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

## TESTT

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

### Sintaxe

TTEST(Data1; Data2; Mode; Type)

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

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

O modo = 1 devolve o test dunha cola e o modo = 2 devolve o test con dúas colas.

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).

### Exemplo

COVAR(A1:A3; B1:B30)

## TESTT

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

This function is available since LibreOffice 4.3

### Sintaxe

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

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

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

O modo = 1 devolve o test dunha cola e o modo = 2 devolve o test con dúas colas.

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).

### Exemplo

COVAR(A1:A3; B1:B30)

## VAR

Calcula o desvío estándar con base na poboación total.

### Sintaxe

VAR(Number1 ; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges representing a sample based on an entire population.

### Exemplo

COVAR(A1:A3; B1:B30)

## VARA

Calcula o desvío estándar con base na poboación total.

### Sintaxe

VARA(Value1; Value2; ...; Value30)

Value1, Value2, ..., Value30 are values or ranges representing a sample derived from an entire population. Text has the value 0.

### Exemplo

COVAR(A1:A3; B1:B30)

## VARP

Calcula o desvío estándar con base na poboación total.

This function is available since LibreOffice 4.2

### Sintaxe

VAR.S(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges representing a sample based on an entire population.

### Exemplo

COVAR(A1:A3; B1:B30)

## VARP

Calcula o desvío estándar con base na poboación total.

### Sintaxe

VARP(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges representing an entire population.

### Exemplo

COVAR(A1:A3; B1:B30)

## VARP

Calcula o desvío estándar con base na poboación total.

This function is available since LibreOffice 4.2

### Sintaxe

VAR.P(Number1; Number2; ...; Number30)

Number1, Number2, ..., Number30 are numerical values or ranges representing an entire population.

### Exemplo

COVAR(A1:A3; B1:B30)

## VARPA

Calcula o desvío estándar con base na poboación total.

### Sintaxe

VARPA(Value1; Value2; ...; Value30)

Value1, Value2, ..., Value30 are values or ranges representing an entire population.

### Exemplo

COVAR(A1:A3; B1:B30)

## WEIBULL

Devolve os valores da distribución de Weibull.

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

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

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

### Sintaxe

GAMMAINV(numero;alfa;beta)

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

Alpha is the shape parameter of the Weibull distribution.

Beta is the scale parameter of the Weibull distribution.

C indicates the type of function.

### Exemplo

DELTA(3; 3) devolve 1

See also the Wiki page.

## WEIBULL.DIST

Devolve os valores da distribución de Weibull.

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

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

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

This function is available since LibreOffice 4.2

### Sintaxe

GAMMAINV(numero;alfa;beta)

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

Alpha is the shape parameter of the Weibull distribution.

Beta is the scale parameter of the Weibull distribution.

C indicates the type of function.

### Exemplo

DELTA(3; 3) devolve 1

See also the Wiki page.

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