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t-tuqishshi galchamme qolanno.

FDIST(kiiro; DegreesFreedom1; DegreesFreedom2)

X assiishshu shallagama noosi hornyooti.

degreesFreedom1 is the degrees of freedom in the numerator in the F distribution.

degreesFreedom2 is the degrees of freedom in the denominator in the F distribution.

=FDIST(0.8;8;12) gumma 0.61.

COM.MICROSOFT.F.DIST.RT

t-tuqishshi galchamme qolanno.

FINV(kiiro; DegreesFreedom1; DegreesFreedom2)

Kiiro ikkanna hoongete hornya ikkite margeessu shallago tuqishshi shallagama noose.

DegreesFreedom1 is the number of degrees of freedom in the numerator of the F distribution.

DegreesFreedom2 is the number of degrees of freedom in the denominator of the F distribution.

=FINV(0.5;5;10) yields 0.93.

COM.MICROSOFT.F.INV.RT

F tuqishshi hornyo shallaganno.

FDIST(kiiro; DegreesFreedom1; DegreesFreedom2)

X assiishshu shallagama noosi hornyooti.

degreesFreedom1 is the degrees of freedom in the numerator in the F distribution.

degreesFreedom2 is the degrees of freedom in the denominator in the F distribution.

=FDIST(0.8;8;12) gumma 0.61.

t-tuqishshi galchamme qolanno.

F.DIST(Number; DegreesFreedom1; DegreesFreedom2 [; Cumulative])

X assiishshu shallagama noosi hornyooti.

degreesFreedom1 is the degrees of freedom in the numerator in the F distribution.

degreesFreedom2 is the degrees of freedom in the denominator in the F distribution.

Xaphoomu (doorshu) = 0 dargu amado assiishsha shallaganno, xaphoomu = 1 tuqishsha shallaganno.

=FDIST(0.8;8;12) gumma 0.61.

=FDIST(0.8;8;12) gumma 0.61.

COM.MICROSOFT.F.DIST

Returns the inverse of the F probability distribution. The F distribution is used for F tests in order to set the relation between two differing data sets.

FINV(kiiro; DegreesFreedom1; DegreesFreedom2)

Kiiro ikkanna hoongete hornya ikkite margeessu shallago tuqishshi shallagama noose.

DegreesFreedom1 is the number of degrees of freedom in the numerator of the F distribution.

DegreesFreedom2 is the number of degrees of freedom in the denominator of the F distribution.

=FINV(0.5;5;10) yields 0.93.

Returns the inverse of the cumulative F distribution. The F distribution is used for F tests in order to set the relation between two differing data sets.

FINV(kiiro; DegreesFreedom1; DegreesFreedom2)

Kiiro ikkanna hoongete hornya ikkite margeessu shallago tuqishshi shallagama noose.

DegreesFreedom1 is the number of degrees of freedom in the numerator of the F distribution.

DegreesFreedom2 is the number of degrees of freedom in the denominator of the F distribution.

=FINV(0.5;5;10) yields 0.93.

COM.MICROSOFT.F.INV

Returns the Fisher transformation for x and creates a function close to a normal distribution.

FISHER(Kiiro)

Kiiro hornyu soorrama noosi.

=FISHER(0.5) gumma 0.55.

X ra kiirote soorama galchamme qolannonna rosamino tuqishshira assiishshu cufama kalaqanno

FISHER(Kiiro)

Number is the value that is to undergo reverse-transformation.

=FISHERINV(0.5) gumma 0.46.

F wo'naalshi guma qolanno.

FTEST(Daata1; Daata2)

Daata1 umi borreessamme diraati.

Daata2 layiinki borreessamme diraati.

=FTEST(A1:A30;B1:B12) calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.

F wo'naalshi guma qolanno.

FTEST(Daata1; Daata2)

Daata1 umi borreessamme diraati.

Daata2 layiinki borreessamme diraati.

=F.TEST(A1:A30;B1:B12) calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.

COM.MICROSOFT.F.TEST

xawado Beeddakko assiishshi hornyo qolanno. GAMMAINV dikonne GAMMA digalchammesi, kayiinni GAMMADIST konne.

GAMMA(Number)

X assiishshu shallagama noosi hornyooti.

xawado beeddakko tuqishshi hornyuwa qolanno.

GAMMAINV galchamme assiishshaati.

GAMMADIST(Number; Alpha; Beta [; C])

Kiiro ikkanna hoongete hornya ikkite margeessu shallago tuqishshi shallagama noose.

Umu tuqishshu eishshaati.

Beta is the parameter Beta of the Gamma distribution.

Xaphoomu (doorshu) = 0 dargu amado assiishsha shallaganno, xaphoomu = 1 tuqishsha shallaganno.

=GAMMADIST(2;1;1;1) yields 0.86.

xawado beeddakko tuqishshi hornyuwa qolanno.

The inverse function is GAMMAINV or GAMMA.INV.

This function is similar to GAMMADIST and was introduced for interoperability with other office suites.

GAMMA.DIST(Number; Alpha; Beta; Cumulative)

Kiiro ikkanna hoongete hornya ikkite margeessu shallago tuqishshi shallagama noose.

Umu tuqishshu eishshaati.

Beta is the parameter Beta of the Gamma distribution.

Cumulative = 0 or False calculates the probability density function; Cumulative = 1, True, or any other value calculates the cumulative distribution function.

=GAMMADIST(2;1;1;1) yields 0.86.

COM.MICROSOFT.GAMMA.DIST

xawado beeddakko xaphooma tuqishsha GAMMADIST qolanno. kuni assiishshi duucha wote babaxxino tuqishshi sooramaanchuwa hasanno.

GAMMAINV(Number; umi fidale; layinki fidale)

Kiiro ikkanna hoongete hornya ikkite margeessu shallago tuqishshi shallagama noose.

Umu tuqishshu eishshaati.

Gedenu tuqishshu eishshaati.

=GAMMAINV(0.8;1;1) yields 1.61.

xawado beeddakko xaphooma tuqishsha GAMMADIST qolanno. kuni assiishshi duucha wote babaxxino tuqishshi sooramaanchuwa hasanno.

This function is identical to GAMMAINV and was introduced for interoperability with other office suites.

GAMMAINV(Number; umi fidale; layinki fidale)

Kiiro ikkanna hoongete hornya ikkite margeessu shallago tuqishshi shallagama noose.

Umu tuqishshu eishshaati.

Gedenu tuqishshu eishshaati.

=GAMMAINV(0.8;1;1) yields 1.61.

COM.MICROSOFT.GAMMA.INV

xawado beeddakko assiishshaha kalaqu shallago qolanno: G(x).

GAMMALN(kiiro)

Number is the value for which the natural logarithm of the Gamma function is to be calculated.

=GAMMALN(2) gumma 0.

xawado beeddakko assiishshaha kalaqu shallago qolanno: G(x).

GAMMALN.PRECISE(Number)

Number is the value for which the natural logarithm of the Gamma function is to be calculated.

=GAMMALN(2) gumma 0.

COM.MICROSOFT.GAMMALN.PRECISE

margeessu rosamino xaphoomi tuqishsha qolanno.

GAUSS(x)=NORMSDIST(x)-0.5 ikkanno

GAUSS(Kiiro)

Kiiro ikkanna hoongete hornya ikkite margeessu shallago tuqishshi galchamme shallagama noose.

=GAUSS(0.19) = 0.08

=KIIRO(0.0375) = 0.01

Akeeku jiomeetire mereerima qolanno.

GEOMEAN(Number 1 [; Number 2 [; â€¦ [; Number 255]]])

=GEOMEAN(23;46;69) = 41.79. The geometric mean value of this random sample is therefore 41.79.

daatu gambooshshinni harmoonkemereerma qolanno.

HARMEAN(Number 1 [; Number 2 [; â€¦ [; Number 255]]])

=HARMEAN(23;46;69) = 37.64. The harmonic mean of this random sample is thus 37.64

hayiper jiometirkete tuqishsha qolanno.

HYPGEOMDIST(X; NSample; Successes; NPopulation [; Cumulative])

X is the number of results achieved in the random sample.

NSample hedeweelchu akeekibikkaati

Successes is the number of possible results in the total population.

Bikko xaphooma dagate bikkaati.

Cumulative (optional) specifies whether to calculate the probability mass function (FALSE or 0) or the cumulative distribution function (any other value). The probability mass function is the default if no value is specified for this parameter.

=HYPGEOMDIST(2;2;90;100) yields 0.81. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.

hayiper jiometirkete tuqishsha qolanno.

HYPGEOMDIST(X; NSample; Ikkadimma; NPopulation)

X is the number of results achieved in the random sample.

NSample hedeweelchu akeekibikkaati

Successes is the number of possible results in the total population.

Bikko xaphooma dagate bikkaati.

Cumulative : 0 or False calculates the probability density function. Other values or True calculates the cumulative distribution function.

=HYPGEOM.DIST(2;2;90;100;0) yields 0.8090909091. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.

=HYPGEOM.DIST(2;2;90;100;1) yields 1.

COM.MICROSOFT.HYPGEOM.DIST

mereerimu daati gambooshshe umaalli daatira umi fidale xibbishshi nookkihaqolanno.

TRIMMEAN(daata; Umi fidale)

Daata akeeku giddo daatu diraati.

Alpha is the percentage of the marginal data that will not be taken into consideration.

=TRIMMEAN(A1:A50; 0.1) calculates the mean value of numbers in A1:A50, without taking into consideration the 5 percent of the values representing the highest values and the 5 percent of the values representing the lowest ones. The percentage numbers refer to the amount of the untrimmed mean value, not to the number of summands.

Akeeka kaima assaidhe z-kiiro mitte roortannota la"ate ikkanna hoonge shallaganno.

ZTEST(Data; mu [; Sigma])

Data is the given sample, drawn from a normally distributed population.

afamino mereerima afamino dagate mereerimaati.

Sigma (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.

See also the Wiki page.

Akeeka kaima assaidhe z-kiiro mitte roortannota la"ate ikkanna hoonge shallaganno.

Z.TEST(Data; mu [; Sigma])

Data is the given sample, drawn from a normally distributed population.

afamino mereerima afamino dagate mereerimaati.

Sigma (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.

=Z.TEST(A2:A20; 9; 2) returns the result of a z-test on a sample A2:A20 drawn from a population with known mean 9 and known standard deviation 2.

COM.MICROSOFT.Z.TEST