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Quick reminder parametric - nonparametric difference

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Ken Plummer

This document provides guidance on choosing between parametric and non-parametric tests based on the characteristics of results data. It asks whether the data is scaled and normally distributed, and if the sample sizes are greater than 30, to determine if a parametric or non-parametric test is more appropriate.

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How to decide to run a parametric or non-parametric test Are the results data scaled? Is the results data distribution normal? Scaled Ordinal or Nominal Proportional Normal Skewed Choose a Parametric Test Are all sample sizes greater than 30? All are greater than 30 Choose a Non-Parametric Test At least 1 is less than 30

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Quick reminder parametric - nonparametric difference

  • 1. How to decide to run a parametric or non-parametric test Are the results data scaled? Is the results data distribution normal? Scaled Ordinal or Nominal Proportional Normal Skewed Choose a Parametric Test Are all sample sizes greater than 30? All are greater than 30 Choose a Non-Parametric Test At least 1 is less than 30