While performing statistical tests [7] the first question is which statistical test, parametric or non-parametric, is suitable. It is well known that parametric tests have much more power (probability that a statistical test will correctly reject a false null hypothesis, or a probability of avoiding a Type II error) than a non-parametric test. Hence, we should use parametric tests whenever allo...

Common using of parametric tests to elaborate research results is limited by predetermined assumptions (variable measurability, normality of its distribution, homogeneity of database etc), which must be fulfilled. Otherwise, the conclusions obtained by calculating using a parametric test will not be quite correct. Parametric tests are useless also in the case of the quality data and the data of...

abstract the aim of this paper is to investigate annual and seasonal precipitation trends of some selective meteorological stations of central region in iran using non-parametric methods. two non-parametric methods including mann-kendall and sen's estimator slope methods were used here to analyze the seasonal and annual trends of precipitation data. some 48 meteorological stations in centr...

multi-environment trials play a significant role in selecting the best cultivars to be used at different locations. the objective of this study was to identify grain and forage yields stability of grass pea advanced lines across different locations. the 14 advanced lines of grass pea, developed by the international center for agricultural research in dry areas (icarda), were tested at three dif...