The Third Edition provides unparalleled, up-to-date coverage of over 130 parametric and nonparametric statistical procedures as well as many fileslib. Handbook of parametric and nonparametric statistical procedures / by David J. Sheskin.--2nd ed. p. cm. Includes bibliographical references and index. Handbook of Parametric and Nonparametric Statistical Procedures: Third Edition. ; Sheskin, David J ; Single concurrent user Handbooks, manuals, etc.
What is parametric and non-parametric test in research methodology? Parametric tests are those that make assumptions about the parameters of the population distribution from which the sample is drawn . This is often the assumption that the population data are normally distributed. Non-parametric tests are “distribution-free” and, as such, can be used for non-Normal variables.
What is parametric and non-parametric test example? Non-parametric does not make any assumptions and measures the central tendency with the median value. Some examples of non-parametric tests include Mann-Whitney, Kruskal-Wallis, etc. Parametric is a statistical test which assumes parameters and the distributions about the population are known.