Statistical
Intermedio
F.DIST(x, degrees_freedom1, degrees_freedom2, cumulative)
Calculates the left-tailed F probability distribution (degree of diversity) for two data sets with given input x. Alternately called Fisher-Snedecor distribution or Snedecor's F distribution. Learn more
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F.DIST.RT(x, degrees_freedom1, degrees_freedom2)
Calculates the right-tailed F probability distribution (degree of diversity) for two data sets with given input x. Alternately called Fisher-Snedecor distribution or Snedecor's F distribution. Learn more
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F.INV(probability, degrees_freedom1, degrees_freedom2)
Calculates the inverse of the left-tailed F probability distribution. Also called the Fisher-Snedecor distribution or Snedecor’s F distribution. Learn more
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F.INV.RT(probability, degrees_freedom1, degrees_freedom2)
Calculates the inverse of the right-tailed F probability distribution. Also called the Fisher-Snedecor distribution or Snedecor’s F distribution. Learn more
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F.TEST(range1, range2)
See FTEST.
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FDIST(x, degrees_freedom1, degrees_freedom2)
See F.DIST.RT.
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FINV(probability, degrees_freedom1, degrees_freedom2)
See F.INV.RT
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Statistical
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FISHER(value)
Returns the Fisher transformation of a specified value. Learn more
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FISHERINV(value)
Returns the inverse Fisher transformation of a specified value. Learn more
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FORECAST(x, data_y, data_x)
Calculates the expected y-value for a specified x based on a linear regression of a dataset. Learn more
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FORECAST.LINEAR(x, data_y, data_x)
See FORECAST
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FTEST(range1, range2)
Returns the probability associated with an F-test for equality of variances. Determines whether two samples are likely to have come from populations with the same variance. Learn more
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GAMMA(number)
Returns the Gamma function evaluated at the specified value. Learn more.
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GAMMA.DIST(x, alpha, beta, cumulative)
Calculates the gamma distribution, a two-parameter continuous probability distribution. Learn more
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GAMMA.INV(probability, alpha, beta)
The GAMMA.INV function returns the value of the inverse gamma cumulative distribution function for the specified probability and alpha and beta parameters. Learn more.
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GAMMADIST(x, alpha, beta, cumulative)
See GAMMA.DIST
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GAMMAINV(probability, alpha, beta)
See GAMMA.INV.
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GAUSS(z)
The GAUSS function returns the probability that a random variable, drawn from a normal distribution, will be between the mean and z standard deviations above (or below) the mean. Learn more.
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GEOMEAN(value1, value2)
Calculates the geometric mean of a dataset. Learn more
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HARMEAN(value1, value2)
Calculates the harmonic mean of a dataset. Learn more
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HYPGEOM.DIST(num_successes, num_draws, successes_in_pop, pop_size)
See HYPGEOMDIST
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Statistical
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HYPGEOMDIST(num_successes, num_draws, successes_in_pop, pop_size)
Calculates the probability of drawing a certain number of successes in a certain number of tries given a population of a certain size containing a certain number of successes, without replacement of draws. Learn more
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INTERCEPT(data_y, data_x)
Calculates the y-value at which the line resulting from linear regression of a dataset will intersect the y-axis (x=0). Learn more
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KURT(value1, value2)
Calculates the kurtosis of a dataset, which describes the shape, and in particular the "peakedness" of that dataset. Learn more
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LARGE(data, n)
Returns the nth largest element from a data set, where n is user-defined. Learn more
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LOGINV(x, mean, standard_deviation)
Returns the value of the inverse log-normal cumulative distribution with given mean and standard deviation at a specified value. Learn more
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LOGNORM.DIST(x, mean, standard_deviation)
See LOGNORMDIST
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LOGNORM.INV(x, mean, standard_deviation)
See LOGINV
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LOGNORMDIST(x, mean, standard_deviation)
Returns the value of the log-normal cumulative distribution with given mean and standard deviation at a specified value. Learn more
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MARGINOFERROR(range, confidence)
Calculates the amount of random sampling error given a range of values and a confidence level. Learn more
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MAXA(value1, value2)
Returns the maximum numeric value in a dataset. Learn more
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MAXIFS(range, criteria_range1, criterion1, [criteria_range2, criterion2], …)
Returns the maximum value in a range of cells, filtered by a set of criteria. Learn more.
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MEDIAN(value1, [value2, ...])
Returns the median value in a numeric dataset. Learn more
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MINA(value1, value2)
Returns the minimum numeric value in a dataset. Learn more
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MINIFS(range, criteria_range1, criterion1, [criteria_range2, criterion2], …)
Returns the minimum value in a range of cells, filtered by a set of criteria. Learn more.
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MODE(value1, [value2, ...])
Returns the most commonly occurring value in a dataset. Learn more
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MODE.MULT(value1, value2)
Returns the most commonly occurring values in a dataset. Learn more.
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MODE.SNGL(value1, [value2, ...])
See MODE
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NEGBINOM.DIST(num_failures, num_successes, prob_success)
See NEGBINOMDIST
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NEGBINOMDIST(num_failures, num_successes, prob_success)
Calculates the probability of drawing a certain number of failures before a certain number of successes given a probability of success in independent trials. Learn more
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NORM.DIST(x, mean, standard_deviation, cumulative)
See NORMDIST
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NORM.INV(x, mean, standard_deviation)
See NORMINV
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NORM.S.DIST(x)
See NORMSDIST
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NORM.S.INV(x)
See NORMSINV
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NORMDIST(x, mean, standard_deviation, cumulative)
Returns the value of the normal distribution function (or normal cumulative distribution function) for a specified value, mean, and standard deviation. Learn more
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NORMINV(x, mean, standard_deviation)
Returns the value of the inverse normal distribution function for a specified value, mean, and standard deviation. Learn more
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NORMSDIST(x)
Returns the value of the standard normal cumulative distribution function for a specified value. Learn more
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NORMSINV(x)
Returns the value of the inverse standard normal distribution function for a specified value. Learn more
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