Statistical Functions Part Five

SKEWP

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

tip

Ця фукція доступна з версії LibreOffice 4.1.


Синтаксис

SKEWP(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

The parameters should specify at least three values.

note

Ця функція є частиною стандарту Open Document Format for Office Applications (OpenDocument) версії 1.2. (ISO/IEC 26300:2-2015)


note

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.


Приклади

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

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

DEVSQ

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

Синтаксис

DEVSQ(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

note

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.


Приклад

=DEVSQ(A1:A50)

FORECAST

Extrapolates future values based on existing x and y values.

Синтаксис

FORECAST(Value; DataY; DataX)

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

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

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

Приклад

=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.

FORECAST.LINEAR

Extrapolates future values based on existing x and y values.

Синтаксис

FORECAST.LINEAR(Value; DataY; DataX)

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

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

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

Приклад

=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.

Технічна інформація

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

NORM.S.DIST

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

Синтаксис

NORM.S.DIST(Number; Cumulative)

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

Інтегральний: 0 або FALSE - обчислюється функція щільності ймовірності. Інші значення або TRUE - обчислюється інтегральна функція розподілу.

Приклад

=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.

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

NORM.S.INV

Повертає обернений стандартний нормальний інтегральний розподіл.

Синтаксис

NORM.S.INV(Number)

Число: ймовірність, для якої обчислюється обернений стандартний нормальний розподіл.

Приклад

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

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

NORMSDIST

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

Синтаксис

NORMSDIST(Number)

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

Приклад

=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.

NORMSINV

Повертає обернений стандартний нормальний інтегральний розподіл.

Синтаксис

NORMSINV(Number)

Число: ймовірність, для якої обчислюється обернений нормальний стандартний розподіл.

Приклад

=NORMSINV(0.908789) returns 1.3333.

PERMUT

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

Синтаксис

PERMUT(Count1; Count2)

Count1 is the total number of objects.

Count2 is the number of objects in each permutation.

Приклад

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

PERMUTATIONA

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

Синтаксис

PERMUTATIONA(Count1; Count2)

Count1 is the total number of objects.

Count2 is the number of objects in each permutation.

Приклад

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

=PERMUTATIONA(11;2) returns 121.

=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.

Синтаксис

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

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

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.

Приклад

=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.

RANK

Returns the rank of a number in a sample.

Синтаксис

RANK(Value; Data [; Type])

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

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

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.

note

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.


Приклад

=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.

note

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.


Синтаксис

RANK.AVG(Value; Data [; Type])

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

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

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.

Приклад

=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.

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

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.

note

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.


Синтаксис

RANK.EQ(Value; Data [; Type])

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

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

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.

Приклад

=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.

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

SKEW

Повертає асиметрію розподілу.

Синтаксис

SKEW(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

The parameters should specify at least three values.

note

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.


Приклад

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

SLOPE

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

Синтаксис

SLOPE(DataY; DataX)

DataY is the array or matrix of Y data.

DataX is the array or matrix of X data.

Приклад

=SLOPE(A1:A50;B1:B50)

STANDARDIZE

Converts a random variable to a normalized value.

Синтаксис

STANDARDIZE(Number; Mean; StDev)

Number is the value to be standardized.

Mean is the arithmetic mean of the distribution.

StDev is the standard deviation of the distribution.

Приклад

=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.

STDEV

Estimates the standard deviation based on a sample.

Синтаксис

STDEV(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

The parameters should specify at least two values.

note

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.


Приклад

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

STDEV.P

Calculates the standard deviation based on the entire population.

Синтаксис

STDEV.P(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

Приклад

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

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.2.


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

STDEV.S

Calculates the standard deviation based on sample of the population.

Синтаксис

STDEV.S(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

The parameters should specify at least two values.

Приклад

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

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.2.


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

STDEVA

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

Синтаксис

STDEVA(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

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

Приклад

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

STDEVP

Calculates the standard deviation based on the entire population.

Синтаксис

STDEVP(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

note

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.


Приклад

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

STDEVPA

Calculates the standard deviation based on the entire population.

Синтаксис

STDEVPA(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

Text has the value 0.

Приклад

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

STEYX

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

Синтаксис

STEYX(DataY; DataX)

DataY is the array or matrix of Y data.

DataX is the array or matrix of X data.

Приклад

=STEYX(A1:A50;B1:B50)

T.DIST

Повертає t-розподіл.

Синтаксис

T.DIST(Number; DegreesFreedom; Cumulative)

Число: значення, для якого обчислюється t-розподіл.

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

Інтегральний = 0 або FALSE - повертає функцію щільності ймовірностей; 1 або TRUE - повертає інтегральну функцію розподілу.

Приклад

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

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

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.

Синтаксис

T.DIST.2T(Number; DegreesFreedom)

Число: значення, для якого обчислюється t-розподіл.

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

Приклад

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

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

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.

Синтаксис

T.DIST.RT(Number; DegreesFreedom)

Число: значення, для якого обчислюється t-розподіл.

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

Приклад

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

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

T.INV

Повертає обернений однобічний t-розподіл (розподіл Ст'юдента).

Синтаксис

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.

Приклад

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

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

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.

Синтаксис

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.

Приклад

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

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

T.TEST

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

Синтаксис

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.

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

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).

Приклад

=T.TEST(A1:A50;B1:B50;2;2)

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.3.


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

TDIST

Повертає обернений t-розподіл (розподіл Ст'юдента).

Синтаксис

TDIST(Number; DegreesFreedom; Mode)

Число: значення, для якого обчислюється t-розподіл.

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

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

Приклад

=TDIST(12;5;1)

TINV

Повертає обернений t-розподіл (розподіл Ст'юдента).

Синтаксис

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.

Приклад

=TINV(0.1;6) returns 1.94

TTEST

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

Синтаксис

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.

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

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).

Приклад

=TTEST(A1:A50;B1:B50;2;2)

VAR

Estimates the variance based on a sample.

Синтаксис

VAR(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

The parameters should specify at least two values.

note

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.


Приклад

=VAR(A1:A50)

VAR.P

Calculates a variance based on the entire population.

Синтаксис

VAR.P(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

Приклад

=VAR.P(A1:A50)

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.2.


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

VAR.S

Estimates the variance based on a sample.

Синтаксис

VAR.S(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

The parameters should specify at least two values.

Приклад

=VAR.S(A1:A50)

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.2.


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

VARA

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

Синтаксис

VARA(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

The parameters should specify at least two values.

Приклад

=VARA(A1:A50)

VARP

Calculates a variance based on the entire population.

Синтаксис

VARP(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

note

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.


Приклад

=VARP(A1:A50)

VARPA

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

Синтаксис

VARPA(Number 1 [; Number 2 [; … [; Number 255]]])

Number 1; Number 2; … ; Number 255 are numbers, references to cells or to cell ranges of numbers.

Приклад

=VARPA(A1:A50)

WEIBULL

Повертає значення розподілу Вейбула.

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

Якщо значення C дорівнює 0, то WEIBULL обчислює функцію щільності ймовірності.

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

Синтаксис

WEIBULL(Number; Alpha; Beta; C)

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.

Приклад

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

See also the Wiki page.

WEIBULL.DIST

Повертає значення розподілу Вейбула.

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

Якщо значення C дорівнює 0, то WEIBULL.DIST обчислює функцію щільності ймовірності.

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

Синтаксис

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

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.

Приклад

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

Технічна інформація

tip

Ця фукція доступна з версії LibreOffice 4.2.


See also the Wiki page.

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

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