Normal Dağılıma Uygunluğu Değerlendirmek için Açık Kaynak Web Tabanlı Yazılım: Normal Dağılımı İnceleme Yazılımı.

Objective: In this study, it was aimed to develop a new user-friendly web-based software that would easily test single-variable univariate and multivariate normal distribution suitability and enable users to get more accurate results in their studies. Material and Method: Shiny, an open source R package, was used to develop the proposed web software. In the developed software, Shapiro-Wilk and Anderson-Darling tests were used for the uniformity of univariate distribution, and Mardia's skewness-kurtosis, Henze-Zircon and Doornik- Hansen tests were used for multivariate normal distribution. Outputs for conformity to normal distribution were supported by using graphical methods. In practice, for the data set where each variable consisting of two variables derived by simulation has a standard normal distribution and the variables contain 1000 observations, the normal distribution conformity analysis has been performed. Results: In the derived data set, each variable is normally distributed according to the Anderson-Darling and Shapiro-Wilk tests. (for x1 and x2 variables, respectively p =0.91 and p =0.707; p =0.756 and p =0.573). In addition, the derived data set showed two-variable normal distribution according to Mardia's skewness-kurtosis, Henze-Zircon and Doornik-Hansen tests. Conclusion: The developed software is a new user-friendly web-based software that can easily perform univariate and multivariate normal distribution conformity analysis and enable users to get more accurate results in their work. In further studies, Type I and Type II error types are planned to be included in the software in order to determine the best method. [ABSTRACT FROM AUTHOR]