wmdPZ‖Statistical Functions Part One

COUNTIFS

Returns the count of cells that meet criteria in multiple ranges.

5wEEE‖

34Lr6‖COUNTBLANK

HUWNd‖Returns the number of empty cells.

GSbiK‖Syntax

e7BZV‖COUNTBLANK(Range)

AQCFv‖Returns the number of empty cells in the cell range Range.

MiUAf‖Example

aB6WZ‖=COUNTBLANK(A1:B2) returns 4 if cells A1, A2, B1, and B2 are all empty.

cuwE9‖

3AfCq‖EXPON.DIST

2Nrho‖Returns the exponential distribution.

GSbiK‖Syntax

VrTRp‖EXPON.DIST(Number; Lambda; C)

c42NV‖Number is the value of the function.

2sGzU‖Lambda is the parameter value.

Rmw6s‖C is a logical value that determines the form of the function. C = 0 calculates the density function, and C = 1 calculates the distribution.

MiUAf‖Example

DF6kg‖=EXPON.DIST(3;0.5;1) returns 0.7768698399.

XAFa7‖Technical information

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


7AVhU‖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.EXPON.DIST

9XsaJ‖

4bowE‖CHIDIST

QHbpD‖Returns the probability value from the indicated Chi square that a hypothesis is confirmed. CHIDIST compares the Chi square value to be given for a random sample that is calculated from the sum of (observed value-expected value)^2/expected value for all values with the theoretical Chi square distribution and determines from this the probability of error for the hypothesis to be tested.

ACBVU‖The probability determined by CHIDIST can also be determined by CHITEST.

GSbiK‖Syntax

Aqvza‖CHIDIST(Number; DegreesFreedom)

DD6iS‖Number is the chi-square value of the random sample used to determine the error probability.

HKCk4‖DegreesFreedom are the degrees of freedom of the experiment.

MiUAf‖Example

pEtQp‖=CHIDIST(13.27; 5) equals 0.02.

ED5xr‖If the Chi square value of the random sample is 13.27 and if the experiment has 5 degrees of freedom, then the hypothesis is assured with a probability of error of 2%.

rPbHm‖

572uZ‖COUNT

byWbW‖Counts how many numbers are in the list of arguments. Text entries are ignored.

GSbiK‖Syntax

AWuDZ‖COUNT(Number 1 [; Number 2 [; … [; Number 255]]])

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

note

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

VBCGA‖The entries 2, 4, 6 and eight in the Value 1-4 fields are to be counted.

4J3HX‖=COUNT(2;4;6;"eight") = 3. The count of numbers is therefore 3.

Ltzh5‖

6wz6r‖CHIINV

sgKAu‖Returns the inverse of the one-tailed probability of the chi-squared distribution.

GSbiK‖Syntax

Ymf9m‖CHIINV(Number; DegreesFreedom)

nPgaN‖Number is the value of the error probability.

JDS6y‖DegreesFreedom is the degrees of freedom of the experiment.

MiUAf‖Example

8jxkV‖A die is thrown 1020 times. The numbers on the die 1 through 6 come up 195, 151, 148, 189, 183 and 154 times (observation values). The hypothesis that the die is not fixed is to be tested.

S98CF‖The Chi square distribution of the random sample is determined by the formula given above. Since the expected value for a given number on the die for n throws is n times 1/6, thus 1020/6 = 170, the formula returns a Chi square value of 13.27.

3XCGW‖If the (observed) Chi square is greater than or equal to the (theoretical) Chi square CHIINV, the hypothesis will be discarded, since the deviation between theory and experiment is too great. If the observed Chi square is less that CHIINV, the hypothesis is confirmed with the indicated probability of error.

8tDhw‖=CHIINV(0.05;5) returns 11.07.

ZDwAj‖=CHIINV(0.02;5) returns 13.39.

fvNEF‖If the probability of error is 5%, the die is not true. If the probability of error is 2%, there is no reason to believe it is fixed.

GkFnT‖

8XGBD‖CHISQINV

bYDy8‖Returns the inverse of CHISQDIST.

GSbiK‖Syntax

ELVTS‖CHISQINV(Probability; Degrees of Freedom)

KibGe‖Probability is the probability value for which the inverse of the chi-square distribution is to be calculated.

5SyjX‖Degrees Of Freedom is the degrees of freedom for the chi-square function.

4sTuh‖

FEGDg‖CHISQ.DIST

TA6Uq‖Returns the probability density function or the cumulative distribution function for the chi-square distribution.

GSbiK‖Syntax

eTnks‖CHISQ.DIST(Number; DegreesFreedom; Cumulative)

gCLJq‖Number is the chi-square value of the random sample used to determine the error probability.

GGYCe‖DegreesFreedom are the degrees of freedom of the experiment.

bBVjB‖Cumulative can be 0 or False to calculate the probability density function. It can be any other value or True to calculate the cumulative distribution function.

MiUAf‖Example

85qc6‖=CHISQ.DIST(3; 2; 0) equals 0.1115650801, the probability density function with 2 degrees of freedom, at x = 3.

poM23‖=CHISQ.DIST(3; 2; 1) equals 0.7768698399, the cumulative chi-square distribution with 2 degrees of freedom, at the value x = 3.

XAFa7‖Technical information

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


7AVhU‖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.CHISQ.DIST

Ja76t‖

G72s9‖CHISQDIST

dUYdD‖Returns the value of the probability density function or the cumulative distribution function for the chi-square distribution.

GSbiK‖Syntax

9t3Cb‖CHISQDIST(Number; Degrees Of Freedom [; Cumulative])

nLEaF‖Number is the number for which the function is to be calculated.

NGD4K‖Degrees Of Freedom is the degrees of freedom for the chi-square function.

XwNAs‖Cumulative (optional): 0 or False calculates the probability density function. Other values or True or omitted calculates the cumulative distribution function.

igEuL‖

H7CXC‖BETAINV

vr2VZ‖Returns the inverse of the cumulative Beta probability density function.

GSbiK‖Syntax

9kR89‖BETAINV(Number; Alpha; Beta [; Start [; End]])

vj4KZ‖Number is the probability associated with the Beta distribution for the given arguments Alpha and Beta.

dxYmS‖Alpha is a strictly positive parameter of the Beta distribution.

kzkLn‖Beta is a strictly positive parameter of the Beta distribution.

GMG7C‖Start (optional) is the lower bound of the output range of the function. If omitted, the default value is 0.

NNPPv‖End (optional) is the upper bound of the output range of the function. If omitted, the default value is 1.

In the LibreOfficeDev Calc functions, parameters marked as "optional" can be left out only when no parameter follows. For example, in a function with four parameters, where the last two parameters are marked as "optional", you can leave out parameter 4 or parameters 3 and 4, but you cannot leave out parameter 3 alone.

MiUAf‖Example

CfVEd‖=BETAINV(0.5;5;10) returns the value 0.3257511553.

hpGub‖BETAINV Wiki page

f49Vu‖

HCAiK‖COUNTA

epCgy‖Counts how many values are in the list of arguments. Text entries are also counted, even when they contain an empty string of length 0. If an argument is an array or reference, empty cells within the array or reference are ignored.

GSbiK‖Syntax

eEkCJ‖COUNTA(Number 1 [; Number 2 [; … [; Number 255]]])

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

MiUAf‖Example

QKY5C‖The entries 2, 4, 6 and eight in the Value 1-4 fields are to be counted.

2BTA2‖=COUNTA(2;4;6;"eight") = 4. The count of values is therefore 4.

QUsqD‖

HqQTx‖BINOMDIST

wgcwF‖Returns the individual term binomial distribution probability.

GSbiK‖Syntax

JLBqH‖BINOMDIST(X; Trials; SP; C)

vCwaa‖X is the number of successes in a set of trials.

iKkPQ‖Trials is the number of independent trials.

QqKmT‖SP is the probability of success on each trial.

3dJBv‖C = 0 calculates the probability of a single event and C = 1 calculates the cumulative probability.

MiUAf‖Example

SmUaa‖=BINOMDIST(A1;12;0.5;0) shows (if the values 0 to 12 are entered in A1) the probabilities for 12 flips of a coin that Heads will come up exactly the number of times entered in A1.

FEzB6‖=BINOMDIST(A1;12;0.5;1) shows the cumulative probabilities for the same series. For example, if A1 = 4, the cumulative probability of the series is 0, 1, 2, 3 or 4 times Heads (non-exclusive OR).

uEPPB‖

MWXpS‖BINOM.INV

s5VnW‖Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value.

GSbiK‖Syntax

AZmxs‖BINOM.INV(Trials; SP; Alpha)

mUrC8‖Trials The total number of trials.

Ydde5‖SP is the probability of success on each trial.

Nnfmp‖Alpha The border probability that is attained or exceeded.

MiUAf‖Example

9ZZFu‖=BINOM.INV(8;0.6;0.9) returns 7, the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value.

XAFa7‖Technical information

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


7AVhU‖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.BINOM.INV

CnTDC‖

NKDUL‖B

VDC2z‖Returns the probability of a sample with binomial distribution.

GSbiK‖Syntax

tYKH6‖B(Trials; SP; T1 [; T2])

5gx3q‖Trials is the number of independent trials.

zLBbF‖SP is the probability of success on each trial.

BJYUG‖T1 defines the lower limit for the number of trials.

EqPwz‖T2 (optional) defines the upper limit for the number of trials.

MiUAf‖Example

4BXFL‖What is the probability with ten throws of the dice, that a six will come up exactly twice? The probability of a six (or any other number) is 1/6. The following formula combines these factors:

YrQVi‖=B(10;1/6;2) returns a probability of 29%.

mncvn‖

R5hxs‖CHISQ.DIST.RT

BqVBu‖Returns the probability value from the indicated Chi square that a hypothesis is confirmed. CHISQ.DIST.RT compares the Chi square value to be given for a random sample that is calculated from the sum of (observed value-expected value)^2/expected value for all values with the theoretical Chi square distribution and determines from this the probability of error for the hypothesis to be tested.

i9AME‖The probability determined by CHISQ.DIST.RT can also be determined by CHITEST.

GSbiK‖Syntax

2ZmC6‖CHISQ.DIST.RT(Number; DegreesFreedom)

hC5Pn‖Number is the chi-square value of the random sample used to determine the error probability.

9Xufc‖DegreesFreedom are the degrees of freedom of the experiment.

MiUAf‖Example

GbrAJ‖=CHISQ.DIST.RT(13.27; 5) equals 0.0209757694.

C7m4A‖If the Chi square value of the random sample is 13.27 and if the experiment has 5 degrees of freedom, then the hypothesis is assured with a probability of error of 2%.

XAFa7‖Technical information

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


7AVhU‖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.CHISQ.DIST.RT

kAezG‖

SdmAC‖BETA.INV

guzrk‖Returns the inverse of the cumulative Beta probability density function.

GSbiK‖Syntax

xtGcA‖BETA.INV(Number; Alpha; Beta [; Start [; End]])

wYUz2‖Number is the probability associated with the Beta distribution for the given arguments Alpha and Beta.

oRwEr‖Alpha is a strictly positive parameter of the Beta distribution.

AcKWH‖Beta is a strictly positive parameter of the Beta distribution.

Xijgg‖Start (optional) is the lower bound of the output range of the function. If omitted, the default value is 0.

Rg7zt‖End (optional) is the upper bound of the output range of the function. If omitted, the default value is 1.

In the LibreOfficeDev Calc functions, parameters marked as "optional" can be left out only when no parameter follows. For example, in a function with four parameters, where the last two parameters are marked as "optional", you can leave out parameter 4 or parameters 3 and 4, but you cannot leave out parameter 3 alone.

MiUAf‖Example

dbj7p‖=BETA.INV(0.5;5;10) returns the value 0.3257511553.

Qrj6p‖BETA.INV Wiki page

XAFa7‖Technical information

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


7AVhU‖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.BETA.INV

aa3S8‖

VuKE2‖CHITEST

sytmD‖Returns the probability of a deviance from a random distribution of two test series based on the chi-squared test for independence. CHITEST returns the chi-squared distribution of the data.

xV9Ae‖The probability determined by CHITEST can also be determined with CHIDIST, in which case the Chi square of the random sample must then be passed as a parameter instead of the data row.

GSbiK‖Syntax

FQEZF‖CHITEST(DataB; DataE)

KYPvX‖DataB is the array of the observations.

iJK7y‖DataE is the range of the expected values.

MiUAf‖Example

gPYqM‖Data_B (observed)

YBiAs‖Data_E (expected)

1

195

170

2

151

170

3

148

170

4

189

170

5

183

170

6

154

170


rEABj‖=CHITEST(A1:A6;B1:B6) equals 0.02. This is the probability which suffices the observed data of the theoretical Chi-square distribution.

uGfYw‖

WFqfL‖COUNTIF

NbceE‖Returns the number of cells that meet with certain criteria within a cell range.

GSbiK‖Syntax

ZS8Ej‖COUNTIF(Range; Criterion)

sxGvB‖Range is the range to which the criteria are to be applied.

45WHz‖Criterion: A criterion is a single cell Reference, Number or Text. It is used in comparisons with cell contents.

m9EAG‖A reference to an empty cell is interpreted as the numeric value 0.

iYNFV‖A matching expression can be:

mmm8z‖The search supports wildcards or regular expressions. With regular expressions enabled, you can enter "all.*", for example to find the first location of "all" followed by any characters. If you want to search for a text that is also a regular expression, you must either precede every regular expression metacharacter or operator with a "\" character, or enclose the text into \Q...\E. You can switch the automatic evaluation of wildcards or regular expression on and off in - LibreOfficeDev Calc - Calculate.

warning

Z3yP3‖When using functions where one or more arguments are search criteria strings that represents a regular expression, the first attempt is to convert the string criteria to numbers. For example, ".0" will convert to 0.0 and so on. If successful, the match will not be a regular expression match but a numeric match. However, when switching to a locale where the decimal separator is not the dot makes the regular expression conversion work. To force the evaluation of the regular expression instead of a numeric expression, use some expression that can not be misread as numeric, such as ".[0]" or ".\0" or "(?i).0".


MiUAf‖Example

ZpDRv‖A1:A10 is a cell range containing the numbers 2000 to 2009. Cell B1 contains the number 2006. In cell B2, you enter a formula:

fHBch‖=COUNTIF(A1:A10;2006) - this returns 1.

EdMbp‖=COUNTIF(A1:A10;B1) - this returns 1.

GRXFA‖=COUNTIF(A1:A10;">=2006") - this returns 4.

ZhuPt‖=COUNTIF(A1:A10;"<"&B1) - when B1 contains 2006, this returns 6.

Esf3P‖=COUNTIF(A1:A10;C2) where cell C2 contains the text >2006 counts the number of cells in the range A1:A10 which are >2006.

z6NgE‖To count only negative numbers: =COUNTIF(A1:A10;"<0")

DvULK‖

WbRgB‖INTERCEPT

zCexh‖Calculates the point at which a line will intersect the y-values by using known x-values and y-values.

GSbiK‖Syntax

vPbsW‖INTERCEPT(DataY; DataX)

yVehp‖DataY is the dependent set of observations or data.

QNqQH‖DataX is the independent set of observations or data.

tYtng‖Names, arrays or references containing numbers must be used here. Numbers can also be entered directly.

MiUAf‖Example

tFVF3‖To calculate the intercept, use cells D3:D9 as the y value and C3:C9 as the x value from the example spreadsheet. Input will be as follows:

4w8AM‖=INTERCEPT(D3:D9;C3:C9) = 2.15.

WwbiV‖

YoRLC‖BETA.DIST

3CAeP‖Returns the beta function.

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


GSbiK‖Syntax

qpb3A‖BETA.DIST(Number; Alpha; Beta; Cumulative [; Start [; End]])

VV9bt‖Number (required) is the value between Start and End at which to evaluate the function.

LhCYX‖Alpha (required) is a parameter to the distribution.

YiCGA‖Beta (required) is a parameter to the distribution.

FY5Mb‖Cumulative (required) can be 0 or False to calculate the probability density function. It can be any other value or True to calculate the cumulative distribution function.

LUTm6‖Start (optional) is the lower bound for Number.

qUy9z‖End (optional) is the upper bound for Number.

In the LibreOfficeDev Calc functions, parameters marked as "optional" can be left out only when no parameter follows. For example, in a function with four parameters, where the last two parameters are marked as "optional", you can leave out parameter 4 or parameters 3 and 4, but you cannot leave out parameter 3 alone.

MiUAf‖Example

oM4CA‖=BETA.DIST(2;8;10;1;1;3) returns the value 0.6854706

wcJQY‖=BETA.DIST(2;8;10;0;1;3) returns the value 1.4837646

XAFa7‖Technical information

7AVhU‖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.BETA.DIST

jhc2b‖

h5wnW‖CHISQ.TEST

TEfCH‖Returns the probability of a deviance from a random distribution of two test series based on the chi-squared test for independence. CHISQ.TEST returns the chi-squared distribution of the data.

Uf7CA‖The probability determined by CHISQ.TEST can also be determined with CHISQ.DIST, in which case the Chi square of the random sample must then be passed as a parameter instead of the data row.

GSbiK‖Syntax

zGBVz‖CHISQ.TEST(DataB; DataE)

UDBk6‖DataB is the array of the observations.

K7dTB‖DataE is the range of the expected values.

MiUAf‖Example

gPYqM‖Data_B (observed)

YBiAs‖Data_E (expected)

1

195

170

2

151

170

3

148

170

4

189

170

5

183

170

6

154

170


CCSNU‖=CHISQ.TEST(A1:A6;B1:B6) equals 0.0209708029. This is the probability which suffices the observed data of the theoretical Chi-square distribution.

XAFa7‖Technical information

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


7AVhU‖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.CHISQ.TEST

okSsM‖

i7WAn‖BETADIST

KQn8d‖Returns the beta function.

GSbiK‖Syntax

AKfrR‖BETADIST(Number; Alpha; Beta [; Start [; End [; Cumulative]]])

jfrX3‖Number is the value between Start and End at which to evaluate the function.

keEva‖Alpha is a parameter to the distribution.

4czap‖Beta is a parameter to the distribution.

6QBee‖Start (optional) is the lower bound for Number.

9Mzdj‖End (optional) is the upper bound for Number.

zU5US‖Cumulative (optional) can be 0 or False to calculate the probability density function. It can be any other value or True or omitted to calculate the cumulative distribution function.

In the LibreOfficeDev Calc functions, parameters marked as "optional" can be left out only when no parameter follows. For example, in a function with four parameters, where the last two parameters are marked as "optional", you can leave out parameter 4 or parameters 3 and 4, but you cannot leave out parameter 3 alone.

MiUAf‖Example

Do7Fo‖=BETADIST(0.75;3;4) returns the value 0.96.

F3FFq‖

pPiNF‖EXPONDIST

PRnz8‖Returns the exponential distribution.

GSbiK‖Syntax

MrFDn‖EXPONDIST(Number; Lambda; C)

hFuao‖Number is the value of the function.

P6fSV‖Lambda is the parameter value.

MjdA5‖C is a logical value that determines the form of the function. C = 0 calculates the density function, and C = 1 calculates the distribution.

MiUAf‖Example

YenkE‖=EXPONDIST(3;0.5;1) returns 0.78.

FyTAT‖

py4DG‖BINOM.DIST

iQPTB‖Returns the individual term binomial distribution probability.

GSbiK‖Syntax

ocFmp‖BINOM.DIST(X; Trials; SP; C)

EvpET‖X is the number of successes in a set of trials.

DSctj‖Trials is the number of independent trials.

EB9Fw‖SP is the probability of success on each trial.

E8BLs‖C = 0 calculates the probability of a single event and C = 1 calculates the cumulative probability.

MiUAf‖Example

eTPtr‖=BINOM.DIST(A1;12;0.5;0) shows (if the values 0 to 12 are entered in A1) the probabilities for 12 flips of a coin that Heads will come up exactly the number of times entered in A1.

oQEBB‖=BINOM.DIST(A1;12;0.5;1) shows the cumulative probabilities for the same series. For example, if A1 = 4, the cumulative probability of the series is 0, 1, 2, 3 or 4 times Heads (non-exclusive OR).

XAFa7‖Technical information

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


7AVhU‖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.BINOM.DIST

r6voH‖

unAAZ‖CHISQ.INV.RT

UAFyq‖Returns the inverse of the one-tailed probability of the chi-squared distribution.

GSbiK‖Syntax

yDWyW‖CHISQ.INV.RT(Number; DegreesFreedom)

LLocG‖Number is the value of the error probability.

dBNEW‖DegreesFreedom is the degrees of freedom of the experiment.

MiUAf‖Example

FeCGg‖A die is thrown 1020 times. The numbers on the die 1 through 6 come up 195, 151, 148, 189, 183 and 154 times (observation values). The hypothesis that the die is not fixed is to be tested.

USHh6‖The Chi square distribution of the random sample is determined by the formula given above. Since the expected value for a given number on the die for n throws is n times 1/6, thus 1020/6 = 170, the formula returns a Chi square value of 13.27.

vp33a‖If the (observed) Chi square is greater than or equal to the (theoretical) Chi square CHIINV, the hypothesis will be discarded, since the deviation between theory and experiment is too great. If the observed Chi square is less that CHIINV, the hypothesis is confirmed with the indicated probability of error.

2vYvm‖=CHISQ.INV.RT(0.05;5) returns 11.0704976935.

mCnAh‖=CHISQ.INV.RT(0.02;5) returns 13.388222599.

kJWrn‖If the probability of error is 5%, the die is not true. If the probability of error is 2%, there is no reason to believe it is fixed.

XAFa7‖Technical information

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


7AVhU‖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.CHISQ.INV.RT

Z8uGX‖

xqMCd‖RSQ

iGuy8‖Returns the square of the Pearson correlation coefficient based on the given values. RSQ (also called determination coefficient) is a measure for the accuracy of an adjustment and can be used to produce a regression analysis.

GSbiK‖Syntax

9oPPj‖RSQ(DataY; DataX)

GqiLB‖DataY is an array or range of data points.

Wxy2V‖DataX is an array or range of data points.

MiUAf‖Example

hCmTw‖=RSQ(A1:A20;B1:B20) calculates the determination coefficient for both data sets in columns A and B.

haxyx‖

zBgd5‖CHISQ.INV

sweX9‖Returns the inverse of the left-tailed probability of the chi-square distribution.

GSbiK‖Syntax

kKGSE‖CHISQ.INV(Probability; DegreesFreedom)

UzSVT‖Probability is the probability value for which the inverse of the chi-square distribution is to be calculated.

Hzp98‖Degrees Of Freedom is the degrees of freedom for the chi-square function.

MiUAf‖Example

jKudB‖=CHISQ.INV(0,5;1) returns 0.4549364231.

XAFa7‖Technical information

tip

2cFVC‖This function is available since LibreOfficeDev 4.2.


7AVhU‖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.CHISQ.INV