Attribute and Ordinal Data:
Probability of Success (PS) - a PS is calculated from a confidence level, number of samples, and number of successes.
Kolmogorov-Conover – this algorithm determines whether two sets of 1D ordinal data (ranked, numerical data) belong to the same population. This applies to pass-fail data as well.
KC Download (compiled C++) – this console program implements the KC algorithm, and additionally calculates the probability of success (PS) for achieving each rank of the data. *See Readme within archive for more details.
KC (LabView) – this program implements the KC algorithm with an associated LabView GUI.
Autocorrelation – an autocorrelation coefficient is calculated to quantify the “randomness” or independence of data samples.
Kolmogorov-Smirnov – this algorithm determines whether two sets of 1D continuous data belong to the same population.
Levene’s test – a modified version of this algorithm uses the Brown-Forsythe statistic for a more robust comparison of the sample variances of two datasets.
T-test – two versions of this test for comparing sample means with either equal or unequal sample variances.
KS Download (compiled C++) – this console program implements the aforementioned algorithms for continuous data, and the results are comprehensively reported in the console window. *See Readme within archive for more details.