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Statistical Procedures

KyPlot offers the following statistical procedures.

Smirnov-Grubbs test for outliers  NEW 

Shapiro-Wilk normality test  NEW

Kolmogorov-Smirnov test for one sample  NEW

nonparametric simple regression  NEW

t-test for parallelism of 2 regression lines  NEW

nonparametric test for parallelism of 2 regression lines  NEW

Completely Randomized Design or Randomized Block Design for one-way ANOVA and two-way ANOVA with replication  NEW

linear model solutions for two-way ANOVA with unbalanced data  NEW

Descriptive statistics

Independence test in contingency tables

t-tests

(unpaired two groups; paired two groups, one group)

Nonparametric tests

(Man-Whitney, Wilcoxon, Kruskal-Wallis, Jonckheere, Friedman, Kolmogorov-Smirnov test for two groups)

Multiple comparisons

(Tukey-Kramer, Dunnett, Steel-Dwass, Steel)

Simple and multiple regression analysis, standard line assay, polynomial regression

Generalized linear regression (binominal and Poisson)

Multivariate analysis

(principal component analysis, factor analysis, discriminant analysis, canonical correlation analysis)

Survival analysis

(Weibull model, proportional hazard model (Cox regression), Kaplan-Meier method, life table method, comparison of two groups)

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