A Relatively Quick Probability Crash Course — Part 6 — Additional Continuous Random Variables
In the previous article of this series, “A Relatively Quick Probability Crash Course — Part 4 — Bernoulli Trial and Discrete Random Variables” the main focus was the discrete random variables.
In this article, the main focus will be swift to continuous random variables.
Probability distributions for random discrete, and thus countable, random variables do not work when the set of random variables includes ranges of variables, and thus an uncountable number of random variables.
For that reason, probability distributions for random continuous variables are a separate topic.
Student’s T Distribution
When the sample size is very small and the standard deviation cannot be calculated, then the use of the Student’s T probability distribution would fit the problem more than the standard deviation, mentioned above.
Before we go there though, one important concept needs to be explained, the Gamma function. The Gamma function is simply what the factorial is for integer numbers, to all real…
