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