1. Conditional Probabilities
Pr (E|F) = Pr(E∩F)/Pr(F)
Pr (F|E) = Pr(E∩F)/Pr(E)

2. Example 1 Four-letter word: 2 A’s & 2 B’s
Pr(2 A’s together | Last letter B) = ?

3. Multiplicative Laws
Pr(E∩F) = Pr(F) Pr (E|F)
Pr(E∩F) = Pr(E) Pr (F|E)

4. Example 2 A box contains 5 & 10 balls
Two balls picked without replacement.
Describe the outcomes & probabilities:

5. Example 3
A bag contains 5 balls, 3 are red and 2 are yellow. Three balls are drawn without replacement. What is the probability of drawing at least two red balls?

6. Total Probability Law
Pr(E) = Pr(F) Pr (E|F) + Pr(Fc) Pr (E|Fc)

7. Bayes Theorem
Pr(F|E) = Pr (F) Pr (E | F)/{Pr(F) Pr (E|F) Pr(Fc) Pr (E|Fc)}

8. Example 4 A school has 60% Boys & 40% Girls.
Of the boys, 80% have activity tickets.
Of the girls, 75% have activity tickets
Pr(belongs to a boy | ticket found) = ?
Pr(belongs to a girl | ticket found) = ?

9. Example 5
Suppose that colored balls are distributed in two indistinguishable boxes as follows:
Box 1 Box 2
Red
Yellow
A box is selected at random from which a ball is selected at random and it is observed to be red. What is the probability that box 2 was selected? Box 1 selected?

10. Example 6
As accounts manager in your company, you classify 75% of your customers as “good credit” and the rest as “risky credit” depending on their credit rating. Customers in the “risky” category allow their accounts to go overdue 50% of the time on average, whereas those in the “good” category allow their accounts to become overdue only 10% of the time. What percentage of overdue accounts are held by customers in the “risky credit” category?

11. Independence of Events
Pr(E∩F) = Pr(E) Pr (F)
Pr(E|F) = Pr(E)
Pr(F|E) = Pr(F)

12. Example 7 Two coins tossed: E = “Head on first coin”
F = “Coins fall alike”
Are E and F independent?

13. Example 8
A town has two fire engines operating independently. The probability that a specific fire engine is available when need is What is the probability that neither is available when needed? What is the probability that a fire engine is available when needed?

14. Example 9
You throw two fair dice, one green and one red. Decide which of the following pairs of events are indpendent:
Sum is 5 & Red die shows 2
Sum is 5 & Red die shows even
Sum is 5 & Sum is 4
Sum is even & Red die shows even

16. Example 10
Two cards are drawn from a bridge deck. What is the probability that the second card drawn is red?

17. Example 11 What is the probability that a family of two children has:
(a) two boys given that it has at least one boy?
(b) two boys given that the first child is a boy?

18. Example 12
Assume that E and F are two events with positive probabilities. Show that if Pr (E | F) = Pr (E) then Pr (F | E) = Pr (F).

19. Example 13
Prove that for any three events A, B, C, each having positive probability, Pr (A ∩ B ∩ C) = Pr (A) Pr (B | A) Pr (C | A ∩ B).

20. Example 14
Suppose that A and B are events such that Pr (A | B) = Pr (B | A) and Pr(A U B) = 1 and Pr(A ∩ B) > 0. Prove that Pr (A) > 1/2.

21. Example 15
We are given three coins: one has heads in both faces, the second has tails in both faces, and the third has a head in one face and a tail in the other. We choose a coin at random, toss it, and it comes heads. What is the probability that the opposite face is tails?

22. Example 16
A batch of one hundred items is inspected by testing two randomly selected items. If one of the two is defective, the batch is rejected. What is the probability that the batch is accepted if it contains five defectives?

23. Example 17
Let A and B be events. Show that Pr (A ∩ B |B) = Pr (A|B), assuming that Pr (B) > 0.

24. Example 18
The king has only one sibling. What is the probability that the sibling is male?