Statistics. Calculate Statistical Tests and Theoretical Distributions Easily
The Statistics option offers you a variety of statistical tests and the option to calculate theoretical distributions. Using the test and estimation methods of inductive statistics, you can draw conclusions from samples about the population from which your data originates. An important area of application for inductive statistics is statistical process control (SPC).
Performance Features
Goodness-of-fit Tests
Chi-Square test with adjustable number of classes and Kolmogoroff-Smirnov test for normal and exponential distribution. The error probability can always be adjusted. The parameters for the distributions can be estimated or specified.
Outlier Correction and Outlier Test
David-Hartley-Pearson test und Grubbs-Beck test with adjustable error probability.
ANOVA
Square Sum Of Treatments and Mean Square Sum Of Treatments (SST and MST), Square Sum Of Errors (SSE), Mean Square Sum Of Errors (MSE), Total Square Sum (TSS). The error probability can be specified.
Variance Tests
Bartlett test and F test with adjustable error probability.
Distributions
Continuous distributions: Normal, log-normal, exponential and Weibull.
Test distributions: Chi-square, Student-t and F. Discrete distributions: Binomial and Poisson.
Confidence Intervals
For the variance and mean value parameters of the normal distribution for a given confidence level.
