PARAMETRICNONPARAMETRICNormal DistributionChoosing appropriate statistical tests is crucial but deciding which tests to use can be challenging. Different tests suit different types of data and research questions
Some programs first perform a normality test, and use the results to suggest whether you should use a parametric or nonparametric test. Prism and InStat do not do this, because the choice of parametric vs. nonparametric is usually more complicated than that. Consider these points...
When to use a parametric test or a nonparametric test? What is the purpose of a chi-squared test? what question does the test answer? what information about data does it provide? What is the purpose of the chi-square test for independence? Give a practical exampl...
What is the difference between parametric and nonparametric hypothesis testing? What do we need to consider when having an approach to testing a hypothesis? In hypothesis testing, what is the difference between a one and two-tailed test? H0: p = .25...
adont be a loser. to be a winner 不要是输家。 是优胜者[translate] aWhile it is generally agreed that parametric procedures are a little more powerful than nonparametric procedures when the assumptions of the parametric procedures are met, what about the case of data for which those assumptions...
[27,28,29], which is a non-parametric version of the Cramér-Rao bound). Note that, thank to randomization, the PS model is always correctly specified. Thus, as long as the posited outcome models are saturated as possible, we could expect more efficiency gain when we use augmented ...
Human beings evolved in “natural” environments. Many intervention studies have shown that exposure to natural environments (compared to built/urban environments) reduces stress and increases cognitive functioning. We set out to test differences in fMRI
Non-parametric cluster-based permutation tests were performed across subjects to statistically assess oscillatory power differences between the different conditions and between the non-native and native listener group (Maris and Oostenveld, 2007). The source-level statistics were computed to create threshol...
Initially, the normality of the data was verified with the Shapiro-Wilk Test. Parametric data were presented as means and standard deviations and nonparametric data were presented as median and interquartile range. Comparison of proportions between groups for the variables expressed as frequency was do...
A z-test is commonly used to examine for the presence of a statistical difference between two mean values. It is called a z-test, as it used a z-test statistic and its associated probability value in order to determine if the difference between the mean ...