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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AVEDEV(value1, [value2, ...])
Calculates the average of the magnitudes of deviations of data from a dataset's mean. Learn more
Apri schedaAVERAGE(value1, [value2, ...])
Returns the numerical average value in a dataset, ignoring text. Learn more
Apri schedaAVERAGE.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.
Apri schedaAVERAGEA(value1, [value2, ...])
Returns the numerical average value in a dataset. Learn more
Apri schedaAVERAGEIF(criteria_range, criterion, [average_range])
Returns the average of a range depending on criteria. Learn more
Apri schedaAVERAGEIFS(average_range, criteria_range1, criterion1, [criteria_range2, criterion2, ...])
Returns the average of a range depending on multiple criteria. Learn more
Apri schedaBETA.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.
Apri schedaBETA.INV(probability, alpha, beta, lower_bound, upper_bound)
Returns the value of the inverse beta distribution function for a given probability. Learn more.
Apri schedaBETADIST(value, alpha, beta, lower_bound, upper_bound)
See BETA.DIST.
Apri schedaBETAINV(probability, alpha, beta, lower_bound, upper_bound)
See BETA.INV
Apri schedaBINOM.DIST(num_successes, num_trials, prob_success, cumulative)
See BINOMDIST
Apri schedaBINOM.INV(num_trials, prob_success, target_prob)
See CRITBINOM
Apri schedaBINOMDIST(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
Apri schedaCHIDIST(x, degrees_freedom)
Calculates the right-tailed chi-squared distribution, often used in hypothesis testing. Learn more
Apri schedaCHIINV(probability, degrees_freedom)
Calculates the inverse of the right-tailed chi-squared distribution. Learn more
Apri schedaCHISQ.DIST(x, degrees_freedom, cumulative)
Calculates the left-tailed chi-squared distribution, often used in hypothesis testing. Learn more
Apri schedaCHISQ.DIST.RT(x, degrees_freedom)
Calculates the right-tailed chi-squared distribution, which is commonly used in hypothesis testing. Learn more
Apri schedaCHISQ.INV(probability, degrees_freedom)
Calculates the inverse of the left-tailed chi-squared distribution. Learn more
Apri schedaCHISQ.INV.RT(probability, degrees_freedom)
Calculates the inverse of the right-tailed chi-squared distribution. Learn more
Apri schedaCHISQ.TEST(observed_range, expected_range)
See CHITEST
Apri schedaCHITEST(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
Apri schedaCONFIDENCE(alpha, standard_deviation, pop_size)
See CONFIDENCE.NORM
Apri schedaCONFIDENCE.NORM(alpha, standard_deviation, pop_size)
Calculates the width of half the confidence interval for a normal distribution. Learn more.
Apri schedaCONFIDENCE.T(alpha, standard_deviation, size)
Calculates the width of half the confidence interval for a Student’s t-distribution. Learn more.
Apri schedaCORREL(data_y, data_x)
Calculates r, the Pearson product-moment correlation coefficient of a dataset. Learn more
Apri schedaCOUNT(value1, [value2, ...])
Returns a count of the number of numeric values in a dataset. Learn more
Apri schedaCOUNTA(value1, [value2, ...])
Returns a count of the number of values in a dataset. Learn more
Apri schedaCOVAR(data_y, data_x)
Calculates the covariance of a dataset. Learn more
Apri schedaCOVARIANCE.P(data_y, data_x)
See COVAR
Apri schedaCOVARIANCE.S(data_y, data_x)
Calculates the covariance of a dataset, where the dataset is a sample of the total population. Learn more.
Apri schedaCRITBINOM(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
Apri schedaDEVSQ(value1, value2)
Calculates the sum of squares of deviations based on a sample. Learn more
Apri schedaEXPON.DIST(x, LAMBDA, cumulative)
Returns the value of the exponential distribution function with a specified LAMBDA at a specified value. Learn more.
Apri schedaEXPONDIST(x, LAMBDA, cumulative)
See EXPON.DIST
Apri schedaF.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
Apri schedaF.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
Apri schedaF.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
Apri schedaF.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
Apri schedaF.TEST(range1, range2)
See FTEST.
Apri schedaFDIST(x, degrees_freedom1, degrees_freedom2)
See F.DIST.RT.
Apri schedaFINV(probability, degrees_freedom1, degrees_freedom2)
See F.INV.RT
Apri schedaFISHER(value)
Returns the Fisher transformation of a specified value. Learn more
Apri schedaFISHERINV(value)
Returns the inverse Fisher transformation of a specified value. Learn more
Apri schedaFORECAST(x, data_y, data_x)
Calculates the expected y-value for a specified x based on a linear regression of a dataset. Learn more
Apri schedaFORECAST.LINEAR(x, data_y, data_x)
See FORECAST
Apri schedaFTEST(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
Apri schedaGAMMA(number)
Returns the Gamma function evaluated at the specified value. Learn more.
Apri schedaGAMMA.DIST(x, alpha, beta, cumulative)
Calculates the gamma distribution, a two-parameter continuous probability distribution. Learn more
Apri schedaGAMMA.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.
Apri schedaGAMMADIST(x, alpha, beta, cumulative)
See GAMMA.DIST
Apri schedaGAMMAINV(probability, alpha, beta)
See GAMMA.INV.
Apri schedaGAUSS(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.
Apri schedaGEOMEAN(value1, value2)
Calculates the geometric mean of a dataset. Learn more
Apri schedaHARMEAN(value1, value2)
Calculates the harmonic mean of a dataset. Learn more
Apri schedaHYPGEOM.DIST(num_successes, num_draws, successes_in_pop, pop_size)
See HYPGEOMDIST
Apri schedaHYPGEOMDIST(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
Apri schedaINTERCEPT(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
Apri schedaKURT(value1, value2)
Calculates the kurtosis of a dataset, which describes the shape, and in particular the "peakedness" of that dataset. Learn more
Apri schedaLARGE(data, n)
Returns the nth largest element from a data set, where n is user-defined. Learn more
Apri schedaLOGINV(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
Apri schedaLOGNORM.DIST(x, mean, standard_deviation)
See LOGNORMDIST
Apri schedaLOGNORM.INV(x, mean, standard_deviation)
See LOGINV
Apri schedaLOGNORMDIST(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
Apri schedaMARGINOFERROR(range, confidence)
Calculates the amount of random sampling error given a range of values and a confidence level. Learn more
Apri schedaMAX(value1, [value2, ...])
Returns the maximum value in a numeric dataset. Learn more
Apri schedaMAXA(value1, value2)
Returns the maximum numeric value in a dataset. Learn more
Apri schedaMAXIFS(range, criteria_range1, criterion1, [criteria_range2, criterion2], …)
Returns the maximum value in a range of cells, filtered by a set of criteria. Learn more.
Apri schedaMEDIAN(value1, [value2, ...])
Returns the median value in a numeric dataset. Learn more
Apri schedaMIN(value1, [value2, ...])
Returns the minimum value in a numeric dataset. Learn more
Apri schedaMINA(value1, value2)
Returns the minimum numeric value in a dataset. Learn more
Apri schedaMINIFS(range, criteria_range1, criterion1, [criteria_range2, criterion2], …)
Returns the minimum value in a range of cells, filtered by a set of criteria. Learn more.
Apri schedaMODE(value1, [value2, ...])
Returns the most commonly occurring value in a dataset. Learn more
Apri schedaMODE.MULT(value1, value2)
Returns the most commonly occurring values in a dataset. Learn more.
Apri schedaMODE.SNGL(value1, [value2, ...])
See MODE
Apri schedaNEGBINOM.DIST(num_failures, num_successes, prob_success)
See NEGBINOMDIST
Apri schedaNEGBINOMDIST(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
Apri schedaNORM.DIST(x, mean, standard_deviation, cumulative)
See NORMDIST
Apri schedaNORM.INV(x, mean, standard_deviation)
See NORMINV
Apri schedaNORM.S.DIST(x)
See NORMSDIST
Apri schedaNORM.S.INV(x)
See NORMSINV
Apri schedaNORMDIST(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
Apri schedaNORMINV(x, mean, standard_deviation)
Returns the value of the inverse normal distribution function for a specified value, mean, and standard deviation. Learn more
Apri schedaNORMSDIST(x)
Returns the value of the standard normal cumulative distribution function for a specified value. Learn more
Apri schedaNORMSINV(x)
Returns the value of the inverse standard normal distribution function for a specified value. Learn more
Apri schedaPEARSON(data_y, data_x)
Calculates r, the Pearson product-moment correlation coefficient of a dataset. Learn more
Apri schedaPERCENTILE(data, percentile)
Returns the value at a given percentile of a dataset. Learn more
Apri schedaPERCENTILE.EXC(data, percentile)
Returns the value at a given percentile of a dataset, exclusive of 0 and 1. Learn more.
Apri schedaPERCENTILE.INC(data, percentile)
See PERCENTILE
Apri schedaPERCENTRANK(data, value, [significant_digits])
Returns the percentage rank (percentile) of a specified value in a dataset. Learn more
Apri schedaPERCENTRANK.EXC(data, value, [significant_digits])
Returns the percentage rank (percentile) from 0 to 1 exclusive of a specified value in a dataset. Learn more
Apri schedaPERCENTRANK.INC(data, value, [significant_digits])
Returns the percentage rank (percentile) from 0 to 1 inclusive of a specified value in a dataset. Learn more
Apri schedaPERMUT(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
Apri schedaPERMUTATIONA(number, number_chosen)
Returns the number of permutations for selecting a group of objects (with replacement) from a total number of objects. Learn more.
Apri schedaPHI(x)
The PHI function returns the value of the normal distribution with mean 0 and standard deviation 1. Learn more.
Apri schedaPOISSON(x, mean, cumulative)
See POISSON.DIST
Apri schedaPOISSON.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.
Apri schedaPROB(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
Apri schedaQUARTILE(data, quartile_number)
Returns a value nearest to a specified quartile of a dataset. Learn more
Apri schedaQUARTILE.EXC(data, quartile_number)
Returns value nearest to a given quartile of a dataset, exclusive of 0 and 4. Learn more.
Apri schedaQUARTILE.INC(data, quartile_number)
See QUARTILE
Apri schedaRANK(value, data, [is_ascending])
Returns the rank of a specified value in a dataset. Learn more
Apri schedaRANK.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
Apri schedaRANK.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
Apri schedaRSQ(data_y, data_x)
Calculates the square of r, the Pearson product-moment correlation coefficient of a dataset. Learn more
Apri schedaSKEW(value1, value2)
Calculates the skewness of a dataset, which describes the symmetry of that dataset about the mean. Learn more
Apri schedaSKEW.P(value1, value2)
Calculates the skewness of a dataset that represents the entire population. Learn more.
Apri schedaSLOPE(data_y, data_x)
Calculates the slope of the line resulting from linear regression of a dataset. Learn more
Apri schedaSMALL(data, n)
Returns the nth smallest element from a data set, where n is user-defined. Learn more
Apri schedaSTANDARDIZE(value, mean, standard_deviation)
Calculates the normalized equivalent of a random variable given mean and standard deviation of the distribution. Learn more
Apri schedaSTDEV(value1, [value2, ...])
Calculates the standard deviation based on a sample. Learn more
Apri schedaSTDEV.P(value1, [value2, ...])
See STDEVP
Apri schedaSTDEV.S(value1, [value2, ...])
See STDEV
Apri schedaSTDEVA(value1, value2)
Calculates the standard deviation based on a sample, setting text to the value `0`. Learn more
Apri schedaSTDEVP(value1, value2)
Calculates the standard deviation based on an entire population. Learn more
Apri schedaSTDEVPA(value1, value2)
Calculates the standard deviation based on an entire population, setting text to the value `0`. Learn more
Apri schedaSTEYX(data_y, data_x)
Calculates the standard error of the predicted y-value for each x in the regression of a dataset. Learn more
Apri schedaT.DIST(x, degrees_freedom, cumulative)
Returns the right tailed Student distribution for a value x. Learn more.
Apri schedaT.DIST.2T(x, degrees_freedom)
Returns the two tailed Student distribution for a value x. Learn more.
Apri schedaT.DIST.RT(x, degrees_freedom)
Returns the right tailed Student distribution for a value x. Learn more.
Apri schedaT.INV(probability, degrees_freedom)
Calculates the negative inverse of the one-tailed TDIST function. Learn more
Apri schedaT.INV.2T(probability, degrees_freedom)
Calculates the inverse of the two-tailed TDIST function. Learn more
Apri schedaT.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.
Apri schedaTDIST(x, degrees_freedom, tails)
Calculates the probability for Student's t-distribution with a given input (x). Learn more
Apri schedaTINV(probability, degrees_freedom)
See T.INV.2T
Apri schedaTRIMMEAN(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
Apri schedaTTEST(range1, range2, tails, type)
See T.TEST.
Apri schedaVAR(value1, [value2, ...])
Calculates the variance based on a sample. Learn more
Apri schedaVAR.P(value1, [value2, ...])
See VARP
Apri schedaVAR.S(value1, [value2, ...])
See VAR
Apri schedaVARA(value1, value2)
Calculates an estimate of variance based on a sample, setting text to the value `0`. Learn more
Apri schedaVARP(value1, value2)
Calculates the variance based on an entire population. Learn more
Apri schedaVARPA(value1, value2,...)
Calculates the variance based on an entire population, setting text to the value `0`. Learn more
Apri schedaWEIBULL(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
Apri schedaWEIBULL.DIST(x, shape, scale, cumulative)
See WEIBULL
Apri schedaZ.TEST(data, value, [standard_deviation])
Returns the one-tailed P-value of a Z-test with standard distribution. Learn more.
Apri schedaZTEST(data, value, [standard_deviation])
See Z.TEST.
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