I want to conclude my discussion of probability distributions with a brief mention of some other distributions. And these are mentioned in the reference handbook, so I'll include them briefly here. And one common one is the so called T distribution, which arises from families of normally distributed populations of small samples sizes whose standard deviations are unknown. And the equation for the T distribution is given here in this x track which you can see is rather involved. And similarly, the T distribution, this is graphed over on the right hand side here. This is called either the T distribution or the students' T distribution. The T test is useful, and it can be used to compare two data sets to determine if they are statistically different. However, I think that this is unlikely to arise in the FE exam. Similarly, this distribution is a so called Chi squared distribution, which is given here, and this one is also tabulated in the book, and finally, we have the gamma function at the end here. And again, I'm mentioning these just because they are presented in the reference handbook, although, I think that the probability of an actual question on them is quite small. So I won't discuss them any further. And this concludes my discussion of probability distributions.