Statistics

  • ADTEST Anderson-Darling Test of Normality
  • AVEDEV average of the absolute deviations of a data set
  • AVERAGE average of all the numeric values and cells
  • AVERAGEA average of all the values and cells
  • BERNOULLI probability mass function of a Bernoulli distribution
  • BETADIST cumulative distribution function of the beta distribution
  • BETAINV inverse of the cumulative distribution function of the beta distribution
  • BINOM.DIST.RANGE probability of the binomial distribution over an interval
  • BINOMDIST probability mass or cumulative distribution function of the binomial distribution
  • CAUCHY probability density or cumulative distribution function of the Cauchy, Lorentz or Breit-Wigner distribution
  • CHIDIST survival function of the chi-squared distribution
  • CHIINV inverse of the survival function of the chi-squared distribution
  • CHITEST p value of the Goodness of Fit Test
  • CONFIDENCE margin of error of a confidence interval for the population mean
  • CORREL Pearson correlation coefficient of two data sets
  • COUNT total number of integer or floating point arguments passed
  • COUNTA number of arguments passed not including empty cells
  • COVAR covariance of two data sets
  • COVARIANCE.S sample covariance of two data sets
  • CRITBINOM right-tailed critical value of the binomial distribution
  • CRONBACH Cronbach's alpha
  • CVMTEST Cramér-von Mises Test of Normality
  • DEVSQ sum of squares of deviations of a data set
  • EXPONDIST probability density or cumulative distribution function of the exponential distribution
  • EXPPOWDIST the probability density function of the Exponential Power distribution
  • FDIST survival function of the F distribution
  • FINV inverse of the survival function of the F distribution
  • FISHER Fisher transformation
  • FISHERINV inverse of the Fisher transformation
  • FORECAST estimates a future value according to existing values using simple linear regression
  • FREQUENCY frequency table
  • FTEST p-value for the two-tailed hypothesis test comparing the variances of two populations
  • GAMMADIST probability density or cumulative distribution function of the gamma distribution
  • GAMMAINV inverse of the cumulative gamma distribution
  • GEOMDIST probability mass or cumulative distribution function of the geometric distribution
  • GEOMEAN geometric mean
  • GROWTH exponential growth prediction
  • HARMEAN harmonic mean
  • HYPGEOMDIST probability mass or cumulative distribution function of the hypergeometric distribution
  • INTERCEPT the intercept of a linear regression line
  • KURT unbiased estimate of the kurtosis of a data set
  • KURTP population kurtosis of a data set
  • LANDAU approximate probability density function of the Landau distribution
  • LAPLACE probability density function of the Laplace distribution
  • LARGE k-th largest value in a data set
  • LEVERAGE calculate regression leverage
  • LINEST multiple linear regression coefficients and statistics
  • LKSTEST Lilliefors (Kolmogorov-Smirnov) Test of Normality
  • LOGEST exponential least square fit
  • LOGFIT logarithmic least square fit (using a trial and error method)
  • LOGINV inverse of the cumulative distribution function of the lognormal distribution
  • LOGISTIC probability density function of the logistic distribution
  • LOGNORMDIST cumulative distribution function of the lognormal distribution
  • LOGREG the logarithmic regression
  • MAX largest value, with negative numbers considered smaller than positive numbers
  • MAXA largest value, with negative numbers considered smaller than positive numbers
  • MEDIAN median of a data set
  • MIN smallest value, with negative numbers considered smaller than positive numbers
  • MINA smallest value, with negative numbers considered smaller than positive numbers
  • MODE first most common number in the dataset
  • NEGBINOMDIST probability mass function of the negative binomial distribution
  • NORMDIST probability density or cumulative distribution function of a normal distribution
  • NORMINV inverse of the cumulative distribution function of a normal distribution
  • NORMSDIST cumulative distribution function of the standard normal distribution
  • NORMSINV inverse of the cumulative distribution function of the standard normal distribution
  • OWENT Owen's T function
  • PARETO probability density function of the Pareto distribution
  • PEARSON Pearson correlation coefficient of the paired set of data
  • PERCENTILE determines the 100*k-th percentile of the given data points
  • PERCENTRANK rank of a data point in a data set
  • PERMUT number of k-permutations of a n-set
  • PERMUTATIONA the number of permutations of y objects chosen from x objects with repetition allowed
  • POISSON probability mass or cumulative distribution function of the Poisson distribution
  • PROB probability of an interval for a discrete (and finite) probability distribution
  • QUARTILE the k-th quartile of the data points
  • R.DBETA probability density function of the beta distribution
  • R.DBINOM probability density function of the binomial distribution
  • R.DCAUCHY probability density function of the Cauchy distribution
  • R.DCHISQ probability density function of the chi-square distribution
  • R.DEXP probability density function of the exponential distribution
  • R.DF probability density function of the F distribution
  • R.DGAMMA probability density function of the gamma distribution
  • R.DGEOM probability density function of the geometric distribution
  • R.DHYPER probability density function of the hypergeometric distribution
  • R.DLNORM probability density function of the log-normal distribution
  • R.DNBINOM probability density function of the negative binomial distribution
  • R.DNORM probability density function of the normal distribution
  • R.DPOIS probability density function of the Poisson distribution
  • R.DSNORM probability density function of the skew-normal distribution
  • R.DST probability density function of the skew-t distribution
  • R.DT probability density function of the Student t distribution
  • R.DWEIBULL probability density function of the Weibull distribution
  • R.PBETA cumulative distribution function of the beta distribution
  • R.PBINOM cumulative distribution function of the binomial distribution
  • R.PCAUCHY cumulative distribution function of the Cauchy distribution
  • R.PCHISQ cumulative distribution function of the chi-square distribution
  • R.PEXP cumulative distribution function of the exponential distribution
  • R.PF cumulative distribution function of the F distribution
  • R.PGAMMA cumulative distribution function of the gamma distribution
  • R.PGEOM cumulative distribution function of the geometric distribution
  • R.PHYPER cumulative distribution function of the hypergeometric distribution
  • R.PLNORM cumulative distribution function of the log-normal distribution
  • R.PNBINOM cumulative distribution function of the negative binomial distribution
  • R.PNORM cumulative distribution function of the normal distribution
  • R.PPOIS cumulative distribution function of the Poisson distribution
  • R.PSNORM cumulative distribution function of the skew-normal distribution
  • R.PST cumulative distribution function of the skew-t distribution
  • R.PT cumulative distribution function of the Student t distribution
  • R.PWEIBULL cumulative distribution function of the Weibull distribution
  • R.QBETA probability quantile function of the beta distribution
  • R.QBINOM probability quantile function of the binomial distribution
  • R.QCAUCHY probability quantile function of the Cauchy distribution
  • R.QCHISQ probability quantile function of the chi-square distribution
  • R.QEXP probability quantile function of the exponential distribution
  • R.QF probability quantile function of the F distribution
  • R.QGAMMA probability quantile function of the gamma distribution
  • R.QGEOM probability quantile function of the geometric distribution
  • R.QHYPER probability quantile function of the hypergeometric distribution
  • R.QLNORM probability quantile function of the log-normal distribution
  • R.QNBINOM probability quantile function of the negative binomial distribution
  • R.QNORM probability quantile function of the normal distribution
  • R.QPOIS probability quantile function of the Poisson distribution
  • R.QSNORM probability quantile function of the skew-normal distribution
  • R.QST probability quantile function of the skew-t distribution
  • R.QT probability quantile function of the Student t distribution
  • R.QWEIBULL probability quantile function of the Weibull distribution
  • RANK rank of a number in a list of numbers
  • RANK.AVG rank of a number in a list of numbers
  • RAYLEIGH probability density function of the Rayleigh distribution
  • RAYLEIGHTAIL probability density function of the Rayleigh tail distribution
  • RSQ square of the Pearson correlation coefficient of the paired set of data
  • SFTEST Shapiro-Francia Test of Normality
  • SKEW unbiased estimate for skewness of a distribution
  • SKEWP population skewness of a data set
  • SLOPE the slope of a linear regression line
  • SMALL k-th smallest value in a data set
  • SSMEDIAN median for grouped data
  • STANDARDIZE z-score of a value
  • STDEV sample standard deviation of the given sample
  • STDEVA sample standard deviation of the given sample
  • STDEVP population standard deviation of the given population
  • STDEVPA population standard deviation of an entire population
  • STEYX standard error of the predicted y-value in the regression
  • SUBTOTAL the subtotal of the given list of arguments
  • TDIST survival function of the Student t-distribution
  • TINV inverse of the survival function of the Student t-distribution
  • TREND estimates future values of a given data set using a least squares approximation
  • TRIMMEAN mean of the interior of a data set
  • TTEST p-value for a hypothesis test comparing the means of two populations using the Student t-distribution
  • VAR sample variance of the given sample
  • VARA sample variance of the given sample
  • VARP variance of an entire population
  • VARPA variance of an entire population
  • WEIBULL probability density or cumulative distribution function of the Weibull distribution
  • ZTEST the probability of observing a sample mean as large as or larger than the mean of the given sample