Statistically significant differences, when sample is not normal.

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I have two sample which doesn't comes from normally distributions. How to analyse whether there are statistically significant differences ?

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In special situations, you can still do exact inference. However, if you're looking for general approaches, then you can try:

  1. Nonparametric tests and confidence intervals (there are TONS of methods in this class that do not depend on normality)
  2. Bootstrapping (parametric or nonparametric)
  3. Likelihood-iterval-based
  4. Bayesian inference

So, you have a lot of areas to look into. Normal-based stats is "classical" stats, and these have been shown to be broadly useful even when the underlying distribution is known to be very non-normal.