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Excel Formulas & Functions in PDF List

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Functions Excel Formulas Description AVERAGE =AVERAGE(number1,number2,…) Returns the average of its arguments AVERAGEIF =AVERAGEIF(range,criteria,[average_range]) Returns the average (arithmetic mean) of all the cells in a range that meet a given criteria COUNT =COUNT(value1,value2,…) Counts how many numbers are in the list of arguments COUNTA =COUNTA(value1,value2,…) Counts how many values are in the list of arguments COUNTBLANK =COUNTBLANK(range) Counts the number of blank cells within a range COUNTIF =COUNTIF(range,criteria) Counts the number of cells within a range that meet the given criteria COUNTIFS =COUNTIFS(criteria_range,criteria,…) Counts the number of cells within a range that meet multiple criteria MAX =MAX(number1,number2,…) Returns the maximum value in a list of arguments MEDIAN =MEDIAN(number1,number2,…) Returns the median of the given numbers MIN =MIN(number1,number2,…) Returns the minimum value in a list of arguments TEXT =TEXT(value,format_text) Formats a number and converts it to text AVERAGEA =AVERAGEA(value1,value2,…) Returns the average of its arguments, including numbers, text, and logical values AVERAGEIFS =AVERAGEIFS(average_range,criteria_range,criteria,…) Returns the average (arithmetic mean) of all cells that meet multiple criteria GEOMEAN =GEOMEAN(number1,number2,…) Returns the geometric mean INTERCEPT =INTERCEPT(known_y’s,known_x’s) Returns the intercept of the linear regression line LARGE =LARGE(array,k) Returns the k-th largest value in a data set LINEST =LINEST(known_y’s,known_x’s,const,stats) Returns the parameters of a linear trend LOGEST =LOGEST(known_y’s,known_x’s,const,stats) Returns the parameters of an exponential trend MAXA =MAXA(value1,value2,…) Returns the maximum value in a list of arguments, including numbers, text, and logical values MINA =MINA(value1,value2,…) Returns the smallest value in a list of arguments, including numbers, text, and logical values MODE.MULT

=MODE.MULT(number1,number2,…)

Returns a vertical array of the most frequently occurring, or repetitive values in an array or range of data MODE.SNGL =MODE.SNGL(number1,number2,…) Returns the most common value in a data set PROB =PROB(x_range,prob_range,lower_limit,upper_limit) Returns the probability that values in a range are between two limits RANK.AVG =RANK.AVG(number,ref,order) Returns the rank of a number in a list of numbers RANK.EQ =RANK.EQ(number,ref,order) Returns the rank of a number in a list of numbers SKEW =SKEW(number1,number2,…) Returns the skewness of a distribution SLOPE =SLOPE(known_y’s,known_x’s) Returns the slope of the linear regression line SMALL =SMALL(array,k) Returns the k-th smallest value in a data set STANDARDIZE =STANDARDIZE(x,mean,standard_dev) Returns a normalized value TREND =TREND(known_y’s,known_x’s,new_x’s,const) Returns values along a linear trend NORM.S.INV =NORM.S.INV(probability) Returns the inverse of the standard normal cumulative distribution AVEDEV =AVEDEV(number1,number2,…) Returns the average of the absolute deviations of data points from their mean BETA.DIST =BETA.DIST(x,alpha,beta,cumulative,A,B) Returns the beta cumulative distribution function BETA.INV =BETA.INV(probability,alpha,beta,A,B) Returns the inverse of the cumulative distribution function for a specified beta distribution BINOM.DIST =BINOM.DIST(number_s,trials,probability_s,cumulative) Returns the individual term binomial distribution probability BINOM.INV =BINOM.INV(trials,probability_s,alpha) Returns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value CHISQ.DIST =CHISQ.DIST(x,deg_freedom,cumulative) Returns the cumulative beta probability density function CHISQ.DIST.RT =CHISQ.DIST.RT(x,deg_freedom) Returns the one-tailed probability of the chi-squared distribution CHISQ.INV =CHISQ.INV(probability,deg_freedom) Returns the cumulative beta probability density function CHISQ.INV.RT =CHISQ.INV.RT(probability,deg_freedom) Returns the inverse of the one-tailed probability of the chi-squared distribution CHISQ.TEST =CHISQ.TEST(actual_range,expected_range) Returns the test for independence CONFIDENCE.NORM =CONFIDENCE.NORM(alpha,standard_dev,size) Returns the confidence interval for a population mean CONFIDENCE.T =CONFIDENCE.T(alpha,standard_dev,size) Returns the confidence interval for a population mean, using a Student’s t distribution CORREL =CORREL(array1,array2) Returns the correlation coefficient between two data sets COVARIANCE.P =COVARIANCE.P(array1,array2) Returns covariance, the average of the products of paired deviations COVARIANCE.S =COVARIANCE.S(array1,array2) Returns the sample covariance, the average of the products deviations for each data point pair in two data sets DEVSQ =DEVSQ(number1,number2,…) Returns the sum of squares of deviations EXPON.DIST =EXPON.DIST(x,lambda,cumulative) Returns the exponential distribution F.DIST =F.DIST(x,deg_freedom1,deg_freedom2,cumulative) Returns the F probability distribution F.DIST.RT =F.DIST.RT(x,deg_freedom1,deg_freedom2) Returns the F probability distribution F.INV =F.INV(probability,deg_freedom1,deg_freedom2) Returns the inverse of the F probability distribution F.INV.RT =F.INV.RT(probability,deg_freedom1,deg_freedom2) Returns the inverse of the F probability distribution F.TEST =F.TEST(array1,array2) Returns the result of an F-test FISHER =FISHER(x) Returns the Fisher transformation FISHERINV =FISHERINV(y) Returns the inverse of the Fisher transformation FREQUENCY =FREQUENCY(data_array,bins_array) Returns a frequency distribution as a vertical array GAMMA.DIST =GAMMA.DIST(x,alpha,beta,cumulative) Returns the gamma distribution GAMMA.INV =GAMMA.INV(probability,alpha,beta) Returns the inverse of the gamma cumulative distribution GAMMALN =GAMMALN(x) Returns the natural logarithm of the gamma function, G(x) GAMMALN.PRECISE =GAMMALN.PRECISE(x) Returns the natural logarithm of the gamma function, G(x) GROWTH =GROWTH(known_y’s,known_x’s,new_x’s,const) Returns values along an exponential trend HARMEAN =HARMEAN(number1,number2,…) Returns the harmonic mean HYPGEOM.DIST =HYPGEOM.DIST(sample_s,number_sample,population_s,number_pop,cumulative) Returns the hypergeometric distribution KURT =KURT(number1,number2,…) Returns the kurtosis of a data set LOGNORM.DIST =LOGNORM.DIST(x,mean,standard_dev,cumulative) Returns the cumulative lognormal distribution LOGNORM.INV =LOGNORM.INV(probability,mean,standard_dev) Returns the inverse of the lognormal cumulative distribution NEGBINOM.DIST =NEGBINOM.DIST(number_f,number_s,probability_s,cumulative) Returns the negative binomial distribution NORM.DIST =NORM.DIST(x,mean,standard_dev,cumulative) Returns the normal cumulative distribution NORM.INV =NORM.INV(probability,mean,standard_dev) Returns the inverse of the normal cumulative distribution NORM.S.DIST =NORM.S.DIST(z,cumulative) Returns the standard normal cumulative distribution PEARSON =PEARSON(array1,array2) Returns the Pearson product moment correlation coefficient PERCENTILE.EXC =PERCENTILE.EXC(array,k) Returns the k-th percentile of values in a range, where k is in the range 0..1, exclusive PERCENTILE.INC =PERCENTILE.INC(array,k) Returns the k-th percentile of values in a range PERCENTRANK.EXC =PERCENTRANK.EXC(array,x,significance) Returns the rank of a value in a data set as a percentage (0..1, exclusive) of the data set PERCENTRANK.INC =PERCENTRANK.INC(array,x,significance) Returns the percentage rank of a value in a data set PERMUT =PERMUT(number,number_chosen) Returns the number of permutations for a given number of objects POISSON.DIST =POISSON.DIST(x,mean,cumulative) Returns the Poisson distribution QUARTILE.EXC =QUARTILE.EXC(array,quart) Returns the quartile of the data set, based on percentile values from 0..1, exclusive QUARTILE.INC =QUARTILE.INC(array,quart) Returns the quartile of a data set RSQ =RSQ(known_y’s,known_x’s) Returns the square of the Pearson product moment correlation coefficient STDEV.P =STDEV.P(number1,number2,…) Calculates standard deviation based on the entire population STDEV.S =STDEV.S(number1,number2,…) Estimates standard deviation based on a sample STDEVA =STDEVA(value1,value2,…) Estimates standard deviation based on a sample, including numbers, text, and logical values STDEVPA =STDEVPA(value1,value2,…) Calculates standard deviation based on the entire population, including numbers, text, and logical values STEYX =STEYX(known_y’s,known_x’s) Returns the standard error of the predicted y-value for each x in the regression T.DIST =T.DIST(x,deg_freedom,cumulative) Returns the Percentage Points (probability) for the Student t-distribution T.DIST.2T =T.DIST.2T(x,deg_freedom) Returns the Percentage Points (probability) for the Student t-distribution T.DIST.RT =T.DIST.RT(x,deg_freedom) Returns the Student’s t-distribution T.INV =T.INV(probability,deg_freedom) Returns the t-value of the Student’s t-distribution as a function of the probability and the degrees of freedom T.INV.2T =T.INV.2T(probability,deg_freedom) Returns the inverse of the Student’s t-distribution T.TEST =T.TEST(array1,array2,tails,type) Returns the probability associated with a Student’s t-test TRIMMEAN =TRIMMEAN(array,percent) Returns the mean of the interior of a data set VAR.P =VAR.P(number1,number2,…) Calculates variance based on the entire population VAR.S =VAR.S(number1,number2,…) Estimates variance based on a sample VARA =VARA(value1,value2,…) Estimates variance based on a sample, including numbers, text, and logical values VARPA =VARPA(value1,value2,…) Calculates variance based on the entire population, including numbers, text, and logical values WEIBULL.DIST =WEIBULL.DIST(x,alpha,beta,cumulative) Returns the Weibull distribution Z.TEST =Z.TEST(array,x,sigma) Returns the one-tailed probability-value of a z-test

Source: https://yodalearning.com/tutorials/excel-formulas-pdf/

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