Function |
Availability |
Use |
|---|---|---|
Basic, Professional, Developer Suite |
Determines the mean absolute deviation from the mean value of a data set. The displacements from the mean are determined for all values of the data set and the average is calculated from these. |
|
Basic, Professional, Developer Suite |
Determines the mean absolute deviation from the median of a data set. This is the average of the deviations from the median. The median is the value that lies exactly in the center of a data series after sorting. If the data set contains an even number of values, the average of the two center values is formed. |
|
Option Statistics |
Carries out a Fisher analysis of variance. You can either calculate an ANOVA table or perform an F-test. The F-test specifies whether the mean values of several samples are significantly different or not. The ANOVA table provides characteristic quantities for the analysis of variance. |
|
Option Statistics |
Carries out a Bartlett variance test. |
|
Basic, Professional, Developer Suite |
Determines the statistical parameters for displaying a box plot. |
|
Option Statistics |
Carries out a Chi-square goodness-of-fit test. The test checks whether the sample passed corresponds to the normal or exponential distribution specified. |
|
Basic, Professional, Developer Suite |
Calculates the absolute or relative coefficient of variation for a data set. |
|
Option Statistics |
Calculates a confidence interval for the mean or the variance of the normal distribution to which the specified sample belongs. |
|
Option Statistics |
Determines the correlation matrix of a data matrix or the correlation of two data sets. |
|
Option Statistics |
Determines the covariance matrix of a data matrix or the covariance between two data sets. |
|
Basic, Professional, Developer Suite |
Calculates the crest factor for a data set. |
|
Option Statistics |
Carries out a David-Hartley-Pearson outlier test. The test checks whether the highest or lowest value in the normally distributed sample passed belongs to the sample or not. |
|
Option Statistics |
Calculates various distribution or density functions. |
|
Option Statistics |
Calculates the empirical distribution function (for unclassified data). |
|
Option Statistics |
Carries out a Grubbs-Beck outlier test. The test checks whether the highest and/or lowest value in the sample belongs to the sample or not. |
|
Option Statistics |
Carries out a Kolmogorov-Smirnov goodness-of-fit test. The test checks whether the sample passed corresponds to the normal or exponential distribution specified. |
|
Basic, Professional, Developer Suite |
Calculates the kurtosis or excess for a data set. |
|
View, Basic, Professional, Developer Suite |
Determines individual, floating or block maxima for a data set. |
|
View, Basic, Professional, Developer Suite |
Determines individual, floating or block mean values for a data set. |
|
Basic, Professional, Developer Suite |
Calculates the mean squared error for a data set. |
|
View, Basic, Professional, Developer Suite |
Determines individual, floating and block minima for a data set. |
|
Basic, Professional, Developer Suite |
Determines individual, floating or block mean quantiles for a data set. |
|
View, Basic, Professional, Developer Suite |
Determines global, floating or block ranges, i.e. differences between maxima and minima for a data set. |
|
Basic, Professional, Developer Suite |
Calculates the skewness for a data set. |
|
Basic, Professional, Developer Suite |
Calculates the standard deviation for a data set. |
|
View, Basic, Professional, Developer Suite |
Calculates the sum or square sum of all values in a data set. |
|
View, Basic, Professional, Developer Suite |
Determines individual, moving or block variances for a data set. |
|
Option Statistics |
Performs a curve fit using the two-parameter Weibull distribution (lifetime analysis). |