Statistical
Intermedio
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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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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Statistical
Base
MAX(value1, [value2, ...])
Returns the maximum value in a numeric dataset. 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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Base
MIN(value1, [value2, ...])
Returns the minimum 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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PEARSON(data_y, data_x)
Calculates r, the Pearson product-moment correlation coefficient of a dataset. Learn more
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PERCENTILE(data, percentile)
Returns the value at a given percentile of a dataset. Learn more
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PERCENTILE.EXC(data, percentile)
Returns the value at a given percentile of a dataset, exclusive of 0 and 1. Learn more.
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PERCENTILE.INC(data, percentile)
See PERCENTILE
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PERCENTRANK(data, value, [significant_digits])
Returns the percentage rank (percentile) of a specified value in a dataset. Learn more
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PERCENTRANK.EXC(data, value, [significant_digits])
Returns the percentage rank (percentile) from 0 to 1 exclusive of a specified value in a dataset. Learn more
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PERCENTRANK.INC(data, value, [significant_digits])
Returns the percentage rank (percentile) from 0 to 1 inclusive of a specified value in a dataset. Learn more
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PERMUT(n, k)
Returns the number of ways to choose some number of objects from a pool of a given size of objects, considering order. Learn more
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PERMUTATIONA(number, number_chosen)
Returns the number of permutations for selecting a group of objects (with replacement) from a total number of objects. Learn more.
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Statistical
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PHI(x)
The PHI function returns the value of the normal distribution with mean 0 and standard deviation 1. Learn more.
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Statistical
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POISSON(x, mean, cumulative)
See POISSON.DIST
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POISSON.DIST(x, mean, [cumulative])
Returns the value of the Poisson distribution function (or Poisson cumulative distribution function) for a specified value and mean. Learn more.
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