Libreria formule

Funzioni Google Sheets

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Statistical

AVEDEV

AVEDEV(value1, [value2, ...])

Calculates the average of the magnitudes of deviations of data from a dataset's mean. Learn more

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Statistical

AVERAGE

AVERAGE(value1, [value2, ...])

Returns the numerical average value in a dataset, ignoring text. Learn more

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Statistical

AVERAGE.WEIGHTED

AVERAGE.WEIGHTED(values, weights, [additional values], [additional weights])

Finds the weighted average of a set of values, given the values and the corresponding weights. Learn more.

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Statistical

AVERAGEA

AVERAGEA(value1, [value2, ...])

Returns the numerical average value in a dataset. Learn more

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Statistical

AVERAGEIF

AVERAGEIF(criteria_range, criterion, [average_range])

Returns the average of a range depending on criteria. Learn more

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Statistical

AVERAGEIFS

AVERAGEIFS(average_range, criteria_range1, criterion1, [criteria_range2, criterion2, ...])

Returns the average of a range depending on multiple criteria. Learn more

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Statistical

BETA.DIST

BETA.DIST(value, alpha, beta, cumulative, lower_bound, upper_bound)

Returns the probability of a given value as defined by the beta distribution function. Learn more.

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Statistical

BETA.INV

BETA.INV(probability, alpha, beta, lower_bound, upper_bound)

Returns the value of the inverse beta distribution function for a given probability. Learn more. 

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Statistical

BETADIST

BETADIST(value, alpha, beta, lower_bound, upper_bound)

See BETA.DIST.

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Statistical

BETAINV

BETAINV(probability, alpha, beta, lower_bound, upper_bound)

 See BETA.INV 

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Statistical

BINOM.DIST

BINOM.DIST(num_successes, num_trials, prob_success, cumulative)

See BINOMDIST

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Statistical

BINOMDIST

BINOMDIST(num_successes, num_trials, prob_success, cumulative)

Calculates the probability of drawing a certain number of successes (or a maximum number of successes) in a certain number of tries given a population of a certain size containing a certain number of successes, with replacement of draws. Learn more

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Statistical

CHIDIST

CHIDIST(x, degrees_freedom)

Calculates the right-tailed chi-squared distribution, often used in hypothesis testing. Learn more

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Statistical

CHIINV

CHIINV(probability, degrees_freedom)

Calculates the inverse of the right-tailed chi-squared distribution. Learn more

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Statistical

CHISQ.DIST

CHISQ.DIST(x, degrees_freedom, cumulative)

Calculates the left-tailed chi-squared distribution, often used in hypothesis testing. Learn more

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Statistical

CHISQ.DIST.RT

CHISQ.DIST.RT(x, degrees_freedom)

Calculates the right-tailed chi-squared distribution, which is commonly used in hypothesis testing. Learn more

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Statistical

CHISQ.INV

CHISQ.INV(probability, degrees_freedom)

Calculates the inverse of the left-tailed chi-squared distribution. Learn more

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Statistical

CHISQ.INV.RT

CHISQ.INV.RT(probability, degrees_freedom)

Calculates the inverse of the right-tailed chi-squared distribution. Learn more

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Statistical

CHITEST

CHITEST(observed_range, expected_range)

Returns the probability associated with a Pearson’s chi-squared test on the two ranges of data. Determines the likelihood that the observed categorical data is drawn from an expected distribution. Learn more

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Statistical

CONFIDENCE.NORM

CONFIDENCE.NORM(alpha, standard_deviation, pop_size)

Calculates the width of half the confidence interval for a normal distribution. Learn more.

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Statistical

CONFIDENCE.T

CONFIDENCE.T(alpha, standard_deviation, size)

Calculates the width of half the confidence interval for a Student’s t-distribution. Learn more.

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Statistical

CORREL

CORREL(data_y, data_x)

Calculates r, the Pearson product-moment correlation coefficient of a dataset. Learn more

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Statistical

COUNT

COUNT(value1, [value2, ...])

Returns a count of the number of numeric values in a dataset. Learn more

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Statistical

COUNTA

COUNTA(value1, [value2, ...])

Returns a count of the number of values in a dataset. Learn more

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Statistical

COVAR

COVAR(data_y, data_x)

Calculates the covariance of a dataset. Learn more

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Statistical

COVARIANCE.S

COVARIANCE.S(data_y, data_x)

Calculates the covariance of a dataset, where the dataset is a sample of the total population. Learn more.

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Statistical

CRITBINOM

CRITBINOM(num_trials, prob_success, target_prob)

Calculates the smallest value for which the cumulative binomial distribution is greater than or equal to a specified criteria. Learn more

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Statistical

DEVSQ

DEVSQ(value1, value2)

Calculates the sum of squares of deviations based on a sample. Learn more

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Statistical

EXPON.DIST

EXPON.DIST(x, LAMBDA, cumulative)

Returns the value of the exponential distribution function with a specified LAMBDA at a specified value. Learn more. 

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Statistical

F.DIST

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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Statistical

F.DIST.RT

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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Statistical

F.INV

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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Statistical

F.INV.RT

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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Statistical

FDIST

FDIST(x, degrees_freedom1, degrees_freedom2)

See F.DIST.RT.

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Statistical

FINV

FINV(probability, degrees_freedom1, degrees_freedom2)

See F.INV.RT

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Statistical

FISHER

FISHER(value)

Returns the Fisher transformation of a specified value. Learn more

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Statistical

FISHERINV

FISHERINV(value)

Returns the inverse Fisher transformation of a specified value. Learn more

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Statistical

FORECAST

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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Statistical

FTEST

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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Statistical

GAMMA

GAMMA(number)

Returns the Gamma function evaluated at the specified value. Learn more.

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Statistical

GAMMA.DIST

GAMMA.DIST(x, alpha, beta, cumulative)

Calculates the gamma distribution, a two-parameter continuous probability distribution. Learn more

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Statistical

GAMMA.INV

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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Statistical

GAUSS

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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Statistical

GEOMEAN

GEOMEAN(value1, value2)

Calculates the geometric mean of a dataset. Learn more

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Statistical

HARMEAN

HARMEAN(value1, value2)

Calculates the harmonic mean of a dataset. Learn more

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Statistical

HYPGEOM.DIST

HYPGEOM.DIST(num_successes, num_draws, successes_in_pop, pop_size)

See HYPGEOMDIST

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Statistical

HYPGEOMDIST

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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Statistical

INTERCEPT

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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Statistical

KURT

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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Statistical

LARGE

LARGE(data, n)

Returns the nth largest element from a data set, where n is user-defined. Learn more

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Statistical

LOGINV

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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Statistical

LOGNORMDIST

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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Statistical

MARGINOFERROR

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

MAX

MAX(value1, [value2, ...])

Returns the maximum value in a numeric dataset. Learn more

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Statistical

MAXA

MAXA(value1, value2)

Returns the maximum numeric value in a dataset. Learn more

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Statistical

MAXIFS

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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Statistical

MEDIAN

MEDIAN(value1, [value2, ...])

Returns the median value in a numeric dataset. Learn more

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Statistical

MIN

MIN(value1, [value2, ...])

Returns the minimum value in a numeric dataset. Learn more

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Statistical

MINA

MINA(value1, value2)

Returns the minimum numeric value in a dataset. Learn more

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Statistical

MINIFS

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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Statistical

MODE

MODE(value1, [value2, ...])

Returns the most commonly occurring value in a dataset. Learn more

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Statistical

MODE.MULT

MODE.MULT(value1, value2)

Returns the most commonly occurring values in a dataset. Learn more.

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Statistical

NEGBINOMDIST

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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Statistical

NORMDIST

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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Statistical

NORMINV

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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Statistical

NORMSDIST

NORMSDIST(x)

Returns the value of the standard normal cumulative distribution function for a specified value. Learn more

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Statistical

NORMSINV

NORMSINV(x)

Returns the value of the inverse standard normal distribution function for a specified value. Learn more

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Statistical

PEARSON

PEARSON(data_y, data_x)

Calculates r, the Pearson product-moment correlation coefficient of a dataset. Learn more

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Statistical

PERCENTILE

PERCENTILE(data, percentile)

Returns the value at a given percentile of a dataset. Learn more

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Statistical

PERCENTILE.EXC

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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Statistical

PERCENTRANK

PERCENTRANK(data, value, [significant_digits])

Returns the percentage rank (percentile) of a specified value in a dataset. Learn more

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Statistical

PERCENTRANK.EXC

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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Statistical

PERCENTRANK.INC

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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Statistical

PERMUT

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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Statistical

PERMUTATIONA

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

PHI

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

POISSON.DIST

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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Statistical

PROB

PROB(data, probabilities, low_limit, [high_limit])

Given a set of values and corresponding probabilities, calculates the probability that a value chosen at random falls between two limits. Learn more

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Statistical

QUARTILE

QUARTILE(data, quartile_number)

Returns a value nearest to a specified quartile of a dataset. Learn more

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Statistical

QUARTILE.EXC

QUARTILE.EXC(data, quartile_number)

Returns value nearest to a given quartile of a dataset, exclusive of 0 and 4. Learn more.

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Statistical

RANK

RANK(value, data, [is_ascending])

Returns the rank of a specified value in a dataset. Learn more

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Statistical

RANK.AVG

RANK.AVG(value, data, [is_ascending])

Returns the rank of a specified value in a dataset. If there is more than one entry of the same value in the dataset, the average rank of the entries will be returned. Learn more

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Statistical

RANK.EQ

RANK.EQ(value, data, [is_ascending])

Returns the rank of a specified value in a dataset. If there is more than one entry of the same value in the dataset, the top rank of the entries will be returned. Learn more

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Statistical

RSQ

RSQ(data_y, data_x)

Calculates the square of r, the Pearson product-moment correlation coefficient of a dataset. Learn more

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Statistical

SKEW

SKEW(value1, value2)

Calculates the skewness of a dataset, which describes the symmetry of that dataset about the mean. Learn more

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Statistical

SKEW.P

SKEW.P(value1, value2)

Calculates the skewness of a dataset that represents the entire population. Learn more.

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Statistical

SLOPE

SLOPE(data_y, data_x)

Calculates the slope of the line resulting from linear regression of a dataset. Learn more

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Statistical

SMALL

SMALL(data, n)

Returns the nth smallest element from a data set, where n is user-defined. Learn more

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Statistical

STANDARDIZE

STANDARDIZE(value, mean, standard_deviation)

Calculates the normalized equivalent of a random variable given mean and standard deviation of the distribution. Learn more

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Statistical

STDEV

STDEV(value1, [value2, ...])

Calculates the standard deviation based on a sample. Learn more

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Statistical

STDEVA

STDEVA(value1, value2)

Calculates the standard deviation based on a sample, setting text to the value `0`. Learn more

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Statistical

STDEVP

STDEVP(value1, value2)

Calculates the standard deviation based on an entire population. Learn more

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Statistical

STDEVPA

STDEVPA(value1, value2)

Calculates the standard deviation based on an entire population, setting text to the value `0`. Learn more

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Statistical

STEYX

STEYX(data_y, data_x)

Calculates the standard error of the predicted y-value for each x in the regression of a dataset. Learn more

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Statistical

T.DIST

T.DIST(x, degrees_freedom, cumulative)

Returns the right tailed Student distribution for a value x. Learn more.

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Statistical

T.DIST.2T

T.DIST.2T(x, degrees_freedom)

Returns the two tailed Student distribution for a value x. Learn more.

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Statistical

T.DIST.RT

T.DIST.RT(x, degrees_freedom)

Returns the right tailed Student distribution for a value x. Learn more.

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Statistical

T.INV

T.INV(probability, degrees_freedom)

Calculates the negative inverse of the one-tailed TDIST function. Learn more

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Statistical

T.INV.2T

T.INV.2T(probability, degrees_freedom)

Calculates the inverse of the two-tailed TDIST function. Learn more

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Statistical

T.TEST

T.TEST(range1, range2, tails, type)

Returns the probability associated with Student's t-test. Determines whether two samples are likely to have come from the same two underlying populations that have the same mean. Learn more. 

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Statistical

TDIST

TDIST(x, degrees_freedom, tails)

Calculates the probability for Student's t-distribution with a given input (x). Learn more

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Statistical

TINV

TINV(probability, degrees_freedom)

See T.INV.2T

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Statistical

TRIMMEAN

TRIMMEAN(data, exclude_proportion)

Calculates the mean of a dataset excluding some proportion of data from the high and low ends of the dataset. Learn more

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Statistical

VAR

VAR(value1, [value2, ...])

Calculates the variance based on a sample. Learn more

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Statistical

VARA

VARA(value1, value2)

Calculates an estimate of variance based on a sample, setting text to the value `0`. Learn more

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Statistical

VARP

VARP(value1, value2)

Calculates the variance based on an entire population. Learn more

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Statistical

VARPA

VARPA(value1, value2,...)

Calculates the variance based on an entire population, setting text to the value `0`. Learn more

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Statistical

WEIBULL

WEIBULL(x, shape, scale, cumulative)

Returns the value of the Weibull distribution function (or Weibull cumulative distribution function) for a specified shape and scale. Learn more

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Statistical

Z.TEST

Z.TEST(data, value, [standard_deviation])

Returns the one-tailed P-value of a Z-test with standard distribution. Learn more. 

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Statistical

ZTEST

ZTEST(data, value, [standard_deviation])

See Z.TEST.

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