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Chi-square statistics and their modifications (e.g., McNemar Test) are used for nominal data. Non Parametric Test - Definition, Types, Examples, Runs Test for Serial Randomness of Nominal Data . PDF Deciding on appropriate statistical methods for your research Parametric and Non-Parametric Tests | Statistical Analyses What Are Nonparametric Statistics? Definition and Examples Ordinal: represent data with an order (e.g. Non-parametric statistical tests are used for nominal and ordinal data. Many nonparametric tests assume continuous data, for example, and if you don't account for heavy discreteness you may get tests with quite different properties from their nominal ones. Testing a hypothesis, nominal or ordinal data, homogeneity of variance, random selection, and normal distribution are not met. Data is Ordinal or Nominal. Nonparametric Statistics multiple choice questions List. brands or species names). In the case of non parametric test, the test statistic is arbitrary. Data are continuous . 5! The analysis process involves numerically ordering data and identifying their rank number. Due to this reason, they are sometimes referred to as distribution-free tests. If you are using interval or ratio scales you use parametric statistics. i. example: For a paired ttest, assume that: data are drawn ITom normal distribution; every observation is independent of each other, and the SDs of the two populations are equal. With a nonparametric test, you don't make any assumptions about the distribution of the data or about the parameters of the data. Oxford University Press.https://tinyur. 2. This is the opposite of the matched category. Also, the non-parametric test is a type of hypothesis test that is not dependent on any underlying hypothesis. Parametric and Nonparametric Tests | Free Paper Examples This is because a parametric test can only be used for continuous data. Parametric tests assume a normal distribution of values or a "bell-shaped" curve.