diff --git a/UNB/Year 4/Semester 2/STAT2593/2024-01-26.md b/UNB/Year 4/Semester 2/STAT2593/2024-01-26.md
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-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
+
+
+