However, there are drawbacks to normal probability and it can be difficult to determine whether or not a sample truly follows a normal distribution.

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 ...

For more information about the SPEC statement, see . The agreement between the empirical and the normal distribution functions in Output 2.1.1 is evidence that the normal distribution is an ...

Normal probability distribution is assumed in financial models; however, the returns of many securities tend to demonstrate a non-normal distribution.

The multinomial distribution is a type of probability distribution used in finance to determine the likelihood of a certain set of outcomes.