Statistical Functions Part Five /text/scalc/01/04060185.xhp

Statistical Functions Part Five

RANK function numbers;determining ranks

RANK

Returns the rank of a number in a sample. 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. =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 function numbers;determining ranks

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. 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. =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. COM.MICROSOFT.RANK.AVG
RANK.EQ function numbers;determining ranks

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. 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. =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. COM.MICROSOFT.RANK.EQ
SKEW function

SKEW

Returns the skewness of a distribution. SKEW() The parameters should specify at least three values. =SKEW(A1:A50) calculates the value of skew for the data referenced.
regression lines;FORECAST function extrapolations FORECAST function mw made "regression lines" a two level entry

FORECAST

Extrapolates future values based on existing x and y values. 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. =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.
regression lines;FORECAST.LINEAR function extrapolations FORECAST.LINEAR function

FORECAST.LINEAR

Extrapolates future values based on existing x and y values. 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. =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. COM.MICROSOFT.FORECAST.LINEAR
STDEV function standard deviations in statistics;based on a sample

STDEV

Estimates the standard deviation based on a sample. STDEV() The parameters should specify at least two values. =STDEV(A1:A50) returns the estimated standard deviation based on the data referenced.
STDEVA function

STDEVA

Calculates the standard deviation of an estimation based on a sample. STDEVA() The parameters should specify at least two values. Text has the value 0. =STDEVA(A1:A50) returns the estimated standard deviation based on the data referenced.
STDEVP function standard deviations in statistics;based on a population

STDEVP

Calculates the standard deviation based on the entire population. STDEVP() =STDEVP(A1:A50) returns a standard deviation of the data referenced.
STDEV.P function standard deviations in statistics;based on a population

STDEV.P

Calculates the standard deviation based on the entire population. STDEV.P() =STDEV.P(A1:A50) returns a standard deviation of the data referenced. COM.MICROSOFT.STDEV.P
STDEV.S function standard deviations in statistics;based on a sample

STDEV.S

Calculates the standard deviation based on sample of the population. STDEV.S() The parameters should specify at least two values. =STDEV.S(A1:A50) returns a standard deviation of the data referenced. COM.MICROSOFT.STDEV.S
STDEVPA function

STDEVPA

Calculates the standard deviation based on the entire population. STDEVPA() Text has the value 0. =STDEVPA(A1:A50) returns the standard deviation of the data referenced.
STANDARDIZE function converting;random variables, into normalized values

STANDARDIZE

Converts a random variable to a normalized value. 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. =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.
NORMSINV function normal distribution;inverse of standard

NORMSINV

Returns the inverse of the standard normal cumulative distribution. NORMSINV(Number) Number is the probability to which the inverse standard normal distribution is calculated. =NORMSINV(0.908789) returns 1.3333.
NORM.S.INV function normal distribution;inverse of standard

NORM.S.INV

Returns the inverse of the standard normal cumulative distribution. NORM.S.INV(Number) Number is the probability to which the inverse standard normal distribution is calculated. =NORM.S.INV(0.908789) returns 1.333334673. COM.MICROSOFT.NORM.S.INV
NORMSDIST function normal distribution;statistics

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 NORMSDIST(Number) Number is the value to which the standard normal cumulative distribution is calculated. =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.
NORM.S.DIST function normal distribution;statistics

NORM.S.DIST

Returns the standard normal cumulative distribution function. The distribution has a mean of zero and a standard deviation of one. 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. =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. COM.MICROSOFT.NORM.S.DIST
SLOPE function

SLOPE

Returns the slope of the linear regression line. The slope is adapted to the data points set in the y and x values. SLOPE(DataY; DataX) DataY is the array or matrix of Y data. DataX is the array or matrix of X data. =SLOPE(A1:A50;B1:B50)
STEYX function standard errors;statistical functions mw changed "standard errors"

STEYX

Returns the standard error of the predicted y value for each x in the regression. STEYX(DataY; DataX) DataY is the array or matrix of Y data. DataX is the array or matrix of X data. =STEYX(A1:A50;B1:B50)
DEVSQ function sums;of squares of deviations

DEVSQ

Returns the sum of squares of deviations based on a sample mean. DEVSQ() =DEVSQ(A1:A50)
TINV function inverse of t-distribution

TINV

Returns the inverse of the t-distribution. 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. =TINV(0.1;6) returns 1.94
T.INV function one tailed inverse of t-distribution

T.INV

Returns the one tailed inverse of the t-distribution. 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. =T.INV(0.1;6) returns -1.4397557473. COM.MICROSOFT.T.INV
T.INV.2T function inverse of two tailed t-distribution

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. 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. =T.INV.2T(0.25; 10) returns 1.221255395. COM.MICROSOFT.T.INV.2T
TTEST function

TTEST

Returns the probability associated with a Student's t-Test. 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). =TTEST(A1:A50;B1:B50;2;2)
T.TEST function

T.TEST

Returns the probability associated with a Student's t-Test. 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). =T.TEST(A1:A50;B1:B50;2;2) COM.MICROSOFT.T.TEST
TDIST function t-distribution

TDIST

Returns the t-distribution. TDIST(Number; DegreesFreedom; Mode) Number is the value for which the t-distribution is calculated. 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. =TDIST(12;5;1)
T.DIST function t-distribution

T.DIST

Returns the t-distribution. T.DIST(Number; DegreesFreedom; Cumulative) Number is the value for which the t-distribution is calculated. 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. =T.DIST(1; 10; TRUE) returns 0.8295534338 COM.MICROSOFT.T.DIST
T.DIST.2T function two tailed t-distribution

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. T.DIST.2T(Number; DegreesFreedom) Number is the value for which the t-distribution is calculated. DegreesFreedom is the number of degrees of freedom for the t-distribution. =T.DIST.2T(1; 10) returns 0.3408931323. COM.MICROSOFT.T.DIST.2T
T.DIST.RT function right tailed t-distribution

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. T.DIST.RT(Number; DegreesFreedom) Number is the value for which the t-distribution is calculated. DegreesFreedom is the number of degrees of freedom for the t-distribution. =T.DIST.RT(1; 10) returns 0.1704465662. COM.MICROSOFT.T.DIST.RT
VAR function variances

VAR

Estimates the variance based on a sample. VAR() The parameters should specify at least two values. =VAR(A1:A50)
VAR.S function variances

VAR.S

Estimates the variance based on a sample. VAR.S() The parameters should specify at least two values. =VAR.S(A1:A50) COM.MICROSOFT.VAR.S
VARA function

VARA

Estimates a variance based on a sample. The value of text is 0. VARA() The parameters should specify at least two values. =VARA(A1:A50)
VARP function

VARP

Calculates a variance based on the entire population. VARP() =VARP(A1:A50)
VAR.P function

VAR.P

Calculates a variance based on the entire population. VAR.P() =VAR.P(A1:A50) COM.MICROSOFT.VAR.P
VARPA function

VARPA

Calculates the variance based on the entire population. The value of text is 0. VARPA() =VARPA(A1:A50)
PERMUT function number of permutations

PERMUT

Returns the number of permutations for a given number of objects. PERMUT(Count1; Count2) Count1 is the total number of objects. Count2 is the number of objects in each permutation. =PERMUT(6;3) returns 120. There are 120 different possibilities, to pick a sequence of 3 playing cards out of 6 playing cards.
PERMUTATIONA function

PERMUTATIONA

Returns the number of permutations for a given number of objects (repetition allowed). PERMUTATIONA(Count1; Count2) Count1 is the total number of objects. Count2 is the number of objects in each permutation. 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 function

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. 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. =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.
WEIBULL function

WEIBULL

Returns the values of the Weibull distribution. 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. 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. =WEIBULL(2;1;1;1) returns 0.86. See also the Wiki page.
WEIBULL.DIST function

WEIBULL.DIST

Returns the values of the Weibull distribution. 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. 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. =WEIBULL.DIST(2;1;1;1) returns 0.8646647168. See also the Wiki page. COM.MICROSOFT.WEIBULL.DIST