Paper aims Introduce a new statistical test to verify whether two small samples of variable classified into multiple categories are drawn from the same population. This problem can be represented by a ...

Knowledge distillation from Large Language Models (LLMs) to locally hosted Small Language Models (SLMs) provides advantages for Data Analysis Code Generation (DACG) such as privacy protection. However ...

Analysis of variance (ANOVA) completes its first centenary with no signs of aging. The genius and simplicity of this analysis has allowed it to become the basic reference for analyzing data from ...

waiting_time <- c(16,30,17,22,31,11,19,18,8) t.test(waiting_time, mu = 15, alternative = "less",conf.level = 0.95) ##p-value is 0.9263 which is greater than 0.05 we accept the null that there is no ...

1 Department of Business Administration, Graduate Education Institute, Karabük University, Karabük, Türkiye. 2 Department of International Relations, Faculty of Business and Management Sciences, ...

Learn what analysis of variance (ANOVA) is, how it works, and when to use it. See how it helps compare means across multiple data groups in statistics and research.

Considering its 200-year history, parametric insurance has been slow to adopt, with conventional insurers regarding it as a niche proposition, suited for the hardest-to-insure exposures. Inflation and ...

Abstract: We offer a new effective online algorithm for implement the Klyushin-Petunin test on streaming data. The Klyushin-Petunin test is a nonparametric test to evaluate the statistical hypothesis ...

Developing and evaluating novel diagnostic assays are crucial components of contemporary diagnostic research. The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) ...