For example, if a process has a normal distribution, then there will be some points where the mean is lower than the median and some points where it is higher than the median.

Output 2.1.1: Superimposed Normal Distribution Function The NORMAL option requests the fitted curve. The VAXIS= option specifies the AXIS statement controlling the vertical axis. The AXIS1 statement ...

A normal distribution is continuous, and can generate an infinite number of outcomes. The multinomial distribution, on the other hand, can only produce a discrete or limited number of outcomes.

where and represent the normal probability density and cumulative distribution functions. The following table shows a subset of the Mroz (1987) data set. In this data, Hours is the number of hours the ...