Law of Total Probability/Bayes' Theorem
Can somebody explain to me, using an example, what those 2 theorems actually are? Like, when I see a problem, how do I know what I'm gonna use?
I know Total Probability is "unconditional Probability", but I don't really get that. Quote:
Quote:

Re: Law of Total Probability/Bayes' Theorem
Quote:
P(X_{1} + X_{2} ≤ 6) = P(X_{2}≤5)P(X_{1}=1) + P(X_{2}≤4)P(X_{1}=2) + P(X_{2}≤3)P(X_{1}=4) +P(X_{2}≤2)P(X_{1}=4) +P(X_{2}≤1)P(X_{1}=5) So above in the sum you break down the cases based on the result of the first die. 
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