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hcistats:pvsnp [2014/03/29 02:03]
Koji Yatani created
hcistats:pvsnp [2014/03/29 02:03]
Koji Yatani
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 ======Parametric vs. Non-parametric====== ======Parametric vs. Non-parametric======
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 One of the major categories in statistical tests is **parametric and non-parametric**. Parametric means that you can describe your data with some commonly used parameters, particularly the mean and standard deviation. To describe your data (more precisely, the distribution of your data) with the mean and standard deviation, **you must be able to assume that the population forms the normal distribution**. There are additional requirements for some of the parametric tests, but the assumption of the normality is the most important assumption. One of the major categories in statistical tests is **parametric and non-parametric**. Parametric means that you can describe your data with some commonly used parameters, particularly the mean and standard deviation. To describe your data (more precisely, the distribution of your data) with the mean and standard deviation, **you must be able to assume that the population forms the normal distribution**. There are additional requirements for some of the parametric tests, but the assumption of the normality is the most important assumption.
  
hcistats/pvsnp.txt ยท Last modified: 2014/03/29 02:13 by Koji Yatani