From ac7ae85197f5e04719f51a5c63e7bf3f349498e7 Mon Sep 17 00:00:00 2001 From: Isaac Shoebottom Date: Fri, 26 Jan 2024 10:04:55 -0400 Subject: [PATCH] 2024-01-26 10:04:55 --- UNB/Year 4/Semester 2/STAT2593/2024-01-26.md | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/UNB/Year 4/Semester 2/STAT2593/2024-01-26.md b/UNB/Year 4/Semester 2/STAT2593/2024-01-26.md index a0c32be..90a3e50 100644 --- a/UNB/Year 4/Semester 2/STAT2593/2024-01-26.md +++ b/UNB/Year 4/Semester 2/STAT2593/2024-01-26.md @@ -1 +1,17 @@ -Lecture Topic: Ramdp, \ No newline at end of file +Lecture Topic: Random Variable + +Random Variable: Variable with a probability attributed to it +Regular Variable: Variable that is more intrinsic, like height +Discrete Variable: Variable where each possible value is a finite set or is an infinite set where each element is it's own distinct element, eg first element, second element etc. + +Probability Mass Function (pmf): The pmf of a discrete rv is defined for every number x by p(x) = P(X=x) + +Mass function criteria: +- All probabilities have to been between 0 and 1 +- The total probabilities have to equal 1 + +Expected Value: The summation of the value and the probability of x over the entire set +Var?: Variance calculate the expected value but square the variable, then subtract the squared expected value + + +