Parametric Statistics


In Chapter 2 we introduced the fundamental hallmarks of Gaussian distribution, thereby neglecting many other theoretical distributions which may also be found in medical research. This preference is based on the simple fact that, even with some limitations, almost all the other distributions tend to coincide with normal distribution. The links between the theoretical distributions allow one to analyze the sample data using, at the first level of approximation, statistical techniques based on the hallmarks of Gaussian distribution. When, for example, we use the coefficient 1.96 for the confidence interval calculation, we are implicitly using a well known hallmark of normal distribution. If, on the other hand, we want to be rigorous, we have to use the correct theoretical distribution, case by case.


Null Hypothesis Contrast Agent Independent Data Group Variance Hounsfield Unit 
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