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### Statistical Functions

 AVEDEV(number1,number2,…) Returns the average of the absolute deviations of data points from their mean. AVERAGE(number1,number2,…) Returns the average of its arguments. AVERAGEA(value1,value2,…) Returns the average of its arguments, including text and logical values. BETADIST(x,alpha,beta,A,B) Returns the cumulative beta probability density function. BETAINV(probability,alpha,beta,A,B) Returns the inverse of the cumulative beta probability density function. BINOMDIST(number_s,trials,probability_s,cumulative) Returns the individual term binomial distribution probability. CHIDIST(x,degrees_freedom) Returns the one-tailed probability of the chi-squared distribution. CHIINV(probability,degrees_freedom) Returns the inverse of the one-tailed probability of the chi-squared distribution. CHITEST(actual_range,expected_range) Returns the test for independence. CONFIDENCE(alpha,standard_dev,size) Returns the confidence interval for a population mean. CORREL(array1,array2) Returns the correlation coefficient between two data sets. COUNT(value1,value2,…) Counts how many numbers are in the list of arguments. COUNTA(value2,value2,…) Counts how many values are in the list of arguments. COUNTBLANK(range) Counts the number of blank cells within a range. COUNTIF(range,criteria) Counts the number of nonblank cells within a range which meet the given criteria. COVAR(array1,array2) Returns covariance, the average of the products of paired deviations. CRITBINOM(trials,probability_s,alpha) Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterian value. DEVSQ(number1,number2,…) Returns the sum of squares of deviations. EXPONDIST(x,lambda,cumulative) Returns the exponential distribution. FDIST(x,degrees_freedom1,degrees_freedom2) Returns the F probability distribution. FINV(probability,degrees_freedom1,degrees_freedom2) Returns the inverse of the F probability distribution. FISHER(x) Returns the Fisher transformation. FISHERINV(y) Returns the inverse of the Fisher transformation. FORECAST(x,known_y's,known_x's) Returns a value along a linear trend. FREQUENCY(data_array,bins_array) Returns a frequency distribution as a vertical array. FTEST(array1,array2) Returns the result of an F-test. GAMMADIST(x,alpha,beta,cumulative) Returns the gamma distribution. GAMMAINV(probability,alpha,beta) Returns the inverse of the gamma cumulative distribution. GAMMALN(x) Returns the natural logarithm of the gamma function. GEOMEAN(number1,number2,…) Returns the geometric mean. GROWTH(knowy_y's,known_x's,new_x's,const) Returns values along an exponential trend. HARMEAN(number1,number2,…) Returns the harmonic mean. HYPGEOMDIST(sample_s,number_sample,population_s,…) Returns the hypergeometric distribution. INTERCEPT(known_y's,known_x's) Returns the intercept of the linear regression line. KURT(number1,number2,…) Returns the kurtosis of a data set. LARGE(array,k) Returns the k-th largest value in a data set. LINEST(known_y's,known_x's,const,stats) Returns the parameters of a linear trend. LOGEST(known_y's,known_x's,const,stats) Returns the parameters of an exponential trend. LOGINV(probability,mean,standard_dev) Returns the inverse of the lognormal distribution. LOGNORMDIST(x,mean,standard_dev) Returns the cumulative lognormal distribution. MAX(number1,number2,…) Returns the maximum value in a list of arguments. MAXA(value1,value2,…) Returns the maximum value in a list of arguments, including text and logical values. MEDIAN(number1,number2,…) Returns the median of the given numbers. MIN(number1,number2,…) Returns the minimum value in a list of arguments. MINA(value1,value2,…) Returns the minimum value in a list of arguments, including text and logical values. MODE(number1,number2,…) Returns the most common value in a data set. NEGBINOMDIST(number_f,number_s,probability_s) Returns the negative binomial distribution. NORMDIST(x,mean,standard_dev,cumulative) Returns the normal cumulative distribution. NORMINV(probability,mean,standard_dev) Returns the inverse of the normal cumulative distribution. NORMSDIST(z) Returns the standard normal cumulative distribution. NORMSINV(probability) Returns the inverse of the standard normal cumulative distribution. PEARSON(array1,array2) Returns the Pearson product moment correlation coefficient. PERCENTILE(array,k) Returns the k-th percentile of values in a range. PERCENTRANK(array,x,significance) Returns the percentage rank of a value in a data set. PERMUT(number,number_chosen) Returns the number of permutations for a given number of objects. POISSON(x,mean,cumulative) Returns the Poisson distribution. PROB(x_range,prob_range,lower_limit,upper_limit) Returns the probability that values in a range are between two limits. QUARTILE(array,quart) Returns the quartile of a data set. RANK(number,ref,order) Returns the rank of a number in a list of numbers. RSQ(known_y's,known_x's) Returns the square of the Pearson product moment correlation coefficient. (If you know what that means, I hope you're making a lot of money.) SKEW(number1,number2,…) Returns the skewness of a distribution. SLOPE(known_y's,known_x's) Returns the slope of the linear regression line. SMALL(array,k) Returns the k-th smallest value in a data set. STANDARDIZE(x,mean,standard_dev) Returns a normalized value. STDEV(number1,number2,…) Estimates standard deviation based on a sample. STDEVA(value1,value2,…) Estimates standard deviation based on a sample, including text and logical values. STDEVP(number1,number2,…) Calculates standard deviation based on the entire population. STDEVPA(value1,value2,…) Calculates standard deviation based on the entire population, including text and logical values. STEYX(known_y's,known_x's) Returns the standard error of the predicted y-value for each x in the regression. TDIST(x,degrees_freedom,tails) Returns the Student's t-distribution. TINV(probability,degrees_freedom) Returns the inverse of the Student's t-distribution. TREND(known_y's,known_x's,new_x's,const) Returns values along a linear trend. TRIMMEAN(array,percent) Returns the mean of the interior of a data set. TTEST(array1,array2,tails,type) Returns the probability associated with a Student's t-test. VAR(number1,number2,…) Estimates variance based on a sample. VARA(value1,value2,…) Estimates variance based on a sample, including text and logical values. VARP(number1,number2,…) Calculates variance based on the entire population. VARPA(value1,value2,…) Calculates variance based on the entire population, including text and logical values. WEIBULL(x,alpha,beta,cumulative) Returns the Weibull distribution. ZTEST(array,x,sigma) Returns the two-tailed P-value of a z-test. Really.

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