Statistical Functions

The list of predefined statistical functions is given in the table below:

Brief description
The method calculates how often values occur within a range of values, and then returns an array of numbers.
The method returns the average of the absolute data points deviations from the mean.
The method returns the beta cumulative distribution function.
The method returns the inverse of the cumulative distribution function for a specified beta distribution.
The method returns the individual value of binomial distribution.
The method returns the one-tailed probability of the chi-squared distribution.
The method returns the inverse of the one-tailed probability of the chi-squared distribution.
The method returns a value for the chi-squared distribution.
The method returns the confidence interval for a population mean.
The method returns the correlation coefficient between A1 and A2.
The method returns covariance, that is, the average of the products for each pair of data points.
The method returns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value.
The method returns sum of squares of data point deviations from mean.
The method estimates variance of the sample.
The method calculates variance for population.
The method returns exponential distribution.
The method returns the F-probability distribution.
The method returns the inverse of the F-probability distribution.
The method returns the Fisher transformation for Value argument.
The method returns the inverse of the Fisher transformation.
The method estimates a future value using available values.
The method returns the result of an F-test.
The method returns the gamma distribution.
The method returns the inverse of gamma distribution.
The method returns the natural logarithm of the gamma function.
The method returns geometric mean of positive number array' values.
The method returns the harmonic mean of a data set.
The method returns the hypergeometric distribution.
The method returns the intercept of the line with the Y axis using KnownXs and KnownYs.
The method returns Jarque-Bera statistics.
The method returns the kurtosis of a data set.
The method returns the k-th largest value in a data set.
The method calculates the statistics for a line by using the least squares method to calculate a straight line that best approximates the available data.
The method returns the inverse function of lognormal distribution.
The method returns the cumulative lognormal distribution.
The method returns the median of the given numbers.
The method returns the most frequently occurring, or repetitive, value in an array of data.
The method returns the negative binomial distribution.
The method returns normal distribution function for the specified mean and standard deviation.
The method returns the inverse of the normal distribution.
The method returns the standard normal cumulative distribution function.
The method returns the inverse of the standard normal cumulative distribution.
The method returns the Pearson correlation coefficient (r).
The method returns the k-th percentile of values in a range.
The method returns the rank of a value in a data set as a percentage of the data set.
The method returns the number of permutations for a given number of objects.
The method returns the Poisson distribution.
The method returns the probability that value in a range is between the specified limits.
The method returns the quartile of a data set.
The method returns the rank of a number in an array of numbers.
The method returns the square of the Pearson correlation coefficient (r^2).
The method returns the skewness of a distribution.
The method returns the slope of the linear regression line.
The method returns k-th least value in a data set.
The method returns normalized value for the distribution described by the mean and standard deviation.
The method estimates standard deviation based on a sample.
The method calculates standard deviation based on the entire population.
The method returns the standard error of the predicted Y values for each X value in the regression.
The method returns the percentage points (probability) for the Student t-distribution, where a numeric value (x) is a calculated value for which the percentage points are to be computed.
The method returns t-value of the Student's distribution as a probability function and the number of degrees of freedom.
The method returns values along a linear trend.
It returns the mean of the interior of a data set.
The method returns the probability associated with the Student's criterion.
The method returns the Weibull distribution.
The method returns the two-tailed P-value of a z-test.

See also:

Function Wizard