A WEB-BASED SOFTWARE FOR THE CALCULATION OF THEORETICAL PROBABILITY DISTRIBUTIONS

Abstract— Aim: The aim of this study is to develop a public web-based theoretical probability distributions software (KODY) that can calculate probabilities for discrete and continuous distributions.
 
 Materials Methods: Discrete Uniform, Bernoulli, Binomial, Multinomial, Poisson, Geometric, Negative Hypergeometric Zeta (Zipf) from the are explained. Among distributions, Continuous Beta, Normal, Log-Normal, Exponential, Gamma, Weibull, Rayleigh, Logistics, Pareto, Laplace, Cauchy Erlang elucidated. Illustrative examples presented on hypothetical medical data. was developed using MATH DASH libraries Python programming language.
 Results: When making statistical analysis, feature distribution essential. Because descriptive analytical methods be applied data with different also different. Probability variables important in effectiveness these methods. For reason, it an essential step researchers determine their before starting studies. It thought will enable make necessary calculations probabilistic estimates regarding distributions. accessed at http://biostatapps.inonu.edu.tr/KODY/.
 Conclusion: open access Turkish/English language options may guide contribute estimation processes In later stages study, foreseen simulation based each distribution.
 Keywords— Distributions, Web - Based Software, Python.