Parametric and Non-parametric tests for comparing two or more groups brands or species names). non-parametric tests can be applied to situations when: • The data does not follow any probability distribution • The data constitutes of ordinal values or ranks • There are outliers in the data • The data has a limit of detection Non parametric test • These tests are used to test hypothesis regarding qualitative . SPSS Nonparametric Tests Tutorials - Complete Overview The test variables are based on the ordinal or nominal level. Nonparametric Statistics - Overview, Types, Examples Non-parametric tests are also known as distribution-free tests. Many non-parametric tests for ratio, interval, or ordinal data calculate a statistic from a comparison of two or more samples and work in the following way. Non-parametric statistical tests are used for nominal and ordinal data. The statistical approach to use depends on the level of data that you wish to examine. A video to accompany:Miksza, P., & Elpus, K. (2018). If you are using interval or ratio scales you use parametric statistics. Statistical tests for analyzing nominal data. weight before and after a diet for one group of subjects Continuous/ scale Time variable (time 1 = before, time 2 = after) Paired t-test Wilcoxon signed rank Examples of non-parametric tests by Zikmund and Babin (2010) include situations where tests done on data provide information about n observations drawn from a population having a hypothesized value equal to the median of the population having an output value as the null median. Table 26.8. Nonparametric Statistics. When the data are nominal or ordinal rather than interval or ratio. The Median is the Rational Representative of Your Study. Parametric tests rely on the assumption that the data you are testing resembles a particular distribution (often a normal or "bell-shaped" distribution). Non-parametric tests are frequently referred to as distribution-free tests because there are not strict assumptions to check in regards to the distribution of the data.

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