1. 1.Addition Rule 2.Multiplication Rule 3.Compliments 4.Conditional Probability 5.Permutation 6.Combinations 7.Expected value 8.Geometric Probabilities 9.Binomial Probabilities

2. Addition Rule for Non Mutually Exclusive Events 2 (A or B) = P(A) + P(B) – P(A and B) One card is drawn from a standard deck of cards. What is the probability that it is red or an ace? = P(Red) + P(Ace) – P(Both Red and Ace) = 26/52 + 4/52 – 2/52 = 28/52

3. Multiplication Rule Finding the probability of more than one event. The word “AND” is always used when describing the situation. 1)P(rolling a 4 and then a 2) = 1/6 *1/6 = 2.8% 2) P(rolling 3 odd #’s) = 3/6*3/6*3/6 = 12.5% 1)P(rolling a 4 and then a 2) = 1/6 *1/6 = 2.8% 2) P(rolling 3 odd #’s) = 3/6*3/6*3/6 = 12.5%

4. 4 Example 1 continued  P(A1 AND A2) = P(A1)P(A2|A1) P(A1) = 4/52  There are now 3 aces left in a 51-card pack P(A2|A1) = 3/51  Overall: P(A1 AND A2) = (4/52) (3/51) =.0045 What’s the probability of pulling out two aces in a row from a deck of 52 cards?

5. If A is an event within the sample space S of an activity or experiment, the complement of A (denoted A') consists of all outcomes in S that are not in A. The complement of A is everything else in the problem that is NOT in A. Compliment: P(A') = 1 - P(A)

6. Conditional Probability and measures the probability of an event given that another event has occurred

7. 1% of the population has disease X. If someone has the disease and gets tested the test is positive every time. If a healthy person gets tested for disease X they will get a false positive 10% of the time. If the lab comes back positive what will be the probability the person actually has the disease?

8. n = total number of items r = number chosen an arrangement of items in a particular order. Permutations

9. Permutations Examples A combination lock will open when the right choice of three numbers (from 1 to 30) is selected. How many different lock combinations are possible assuming no number is repeated?

10. Combinations an arrangement of items in which order does not matter. There are always fewer combinations than permutations. n = total number of items r = number chosen

11. Combinations Example To play a particular card game, each player is dealt five cards from a standard deck of 52 cards. How many different hands are possible?

12. a weighted average of all possible values where the weights are the probabilities of each outcome Expected value

13. Example: expected value probability distribution of ER arrivals x is the number of arrivals in one hour X 1011121314 P(x).4.2.1

14. Geometric Distribution want to find the number of trials for the 1 st success p = probability of success q = 1 – p = probability of failure X = # of trials until first success occurs p(x) = q x-1 p p = probability of success q = 1 – p = probability of failure X = # of trials until first success occurs p(x) = q x-1 p

15. 15 Two Ways to use the Geometric Model #1: the probability of getting your first success on the x trail p(x) = q x-1 p #2: the number of trials until the first success is certain p(x) =

16. The desired probability is: p(x) = q x-1 p EXAMPLE: On Friday’s 25% of the customers at an ATM make deposits. What is the probability that it takes 4 customers at the ATM before the first one makes a deposit. ✔ Two Categories: Success: make a deposit Failure: don’t make a deposit ✔ Probability success same for each trial ✔ Wish to find the probability of the first EXAMPLE: On Friday’s 25% of the customers at an ATM make deposits. What is the probability that it takes 4 customers at the ATM before the first one makes a deposit. ✔ Two Categories: Success: make a deposit Failure: don’t make a deposit ✔ Probability success same for each trial ✔ Wish to find the probability of the first

17. n = number of trials x = number of successes n – x = number of failures p = probability of success in one trial q = 1 – p = probability of failure in one trial n = number of trials x = number of successes n – x = number of failures p = probability of success in one trial q = 1 – p = probability of failure in one trial BINOMIAL PROBABILITY finding the probability of a specific number of successes

18. EXAMPLE 2 You are taking a 10 question multiple choice test. If each question has four choices and you guess on each question, what is the probability of getting exactly 7 questions correct? p = 0.25 = guessing the correct answer q = 0.75 = guessing the wrong answer n = 10 x = 7

19. Review Packet!!!!