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An introduction to probability theory, focusing on the multiplicative and additive laws of probability and the event composition method. Theorems, proofs, examples, and exercises related to these concepts.
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STAT 3401, Intro. Prob. Theory 16/22 Jaimie Kwon
à Proof: follows from the definitions à Applying it multiple times, we can have results like P(A 1 ∩A 2 ∩…∩Ak)= P(A 1 )P(A 2 | A 1 )P(A 1 | A 1 ∩ A 2 )…P(Ak|A 1 ∩ A 2 ∩… ∩ Ak-1)
à Proof: inspection of the Venn diagram à P(A∪B∪C)=?
à Proof: use the previous theorem. ♦ HW: some of the exercises 2.66~ ♦ Keywords: the multiplicative & additive law of probability;
♦ Example 2.17. Political composition of a city and their support of the bond issues R vs. D (40% vs. 60%), P(F|R)=.7 and P(F|D)=.8. What is P(F)?
♦ Example 2.18. Birthday problem. We know P(A)=.5886. What’s P(B)=P(A’)?
à Define the experiment à Visualize the nature of the sample points. Identify a few to clarify your thinking. à Write an equation expressing the event of interest, say A, as a composition of two or more events, using unions, intersections and/or complements. (hardest) à Apply the laws of probability to the compositions to find P(A)
STAT 3401, Intro. Prob. Theory 17/22 Jaimie Kwon
♦ Example 2.19. (same as example 2.12) Selecting two applicants randomly from five. P(exactly one of the two best applicants are selected)=?
.. =P(draw the best and one of the three poorest) + P(draw the second best and one of the three poorest) = P(draw the best on the first draw)P(draw one of the three poorest on the second draw) + …
♦ Example 2.20. P(a patient with a disease respond to a treatment)=.9. P(at least one of three patients, treated independently, will respond)=?
♦ Example 2.21. P(a new arrival at a medical clinic is an emergency case)=1/6. P(r'th patient is the first emergency case)=? Also check P(S) = 1
♦ Example 2.22 (Monkey color recognition experiment)
♦ HW. Some of the exercises 2.86~ ♦ Keywords: the event-composition method