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Use this tag to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributions, whereas parametric methods make assumptions that allow data to be described by a small number of parameters.
1
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Nonparametric tests and binary data?
A nonparametric test would be used when data violates the assumptions of the traditional test you would use. … the test are pointed out here:
https://statistics.laerd.com/spss-tutorials/binomial-logistic-regression-using-spss-statistics.php
In conclusion your data are not Normal, but you do not need to use a nonparametric …
0
votes
Confused on normality assumption
Normality is something we commonly assume when we conduct a hypothesis test or fit a model. A common rule of thumb is that if your sample size is greater than 30 the central limit theorem probably app …