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Bell (Whistle While You) Work! 1. How many ways are there to pick 5 of my 10 best friends to go to Lady Gaga's January concert with me? 2. How many ways are there to arrange 10 of my 35 apps on my iphone? (I care where instagram goes!) 3. How many ways are there to make a playlist of 50 songs from my library of 1,000 songs? 4. How many ways are there to assign the first 10 parking spaces in the student lot if there are 500 seniors? Homework Answers/Questions! 1

Get: - supply bin - whiteboards & rags (1 per person) Have out: - notes - calc 5.3 Conditional Probability 2

Notes with Whiteboards! Multi-Events More than one event/one way to win EX/ P (King followed by Queen) Probability of a 1 on the first roll and a 5 on the second roll 3

Formulas P(A then B) P(A) x P(B) P(A then B then C) P(A) x P(B) x P(C) (no replacement) P(King followed by Q) (4/52) x (4/51) P(King followed by King) (4/52) x (3/51) P(King followed by King, then 4) (4/52) x (3/51) x (4/50) 4

Recall Independent vs. Dependent Recall Test for Independence P(A and B) = P(A) x P(B) 5

Are the following independent? P(A) = 0.4, P(B) = 0.5, P(A and B) = 0.6.4 x.5 =.6.2.6 Is rolling a 2 on the first die and a 3 on the second die independent? (1/6) x (1/6) = 1/36 1/36 = 1/36 Yuppers! There are 3 blue marbles and 2 red marbles in a bag P(red) 2/5 P(blue) 3/5 P(red then blue) replacement (2/5) x (3/5) Is the above independent? Yes! 6

There are 3 blue marbles and 2 red marbles in a bag P(red then blue) no replacement (2/5) x (3/4) Is the above independent? Nope! 140 employees were asked about their political affiliation P(D) 68/140 P(E) 48/140 7

140 employees were asked about their political affiliation P(D given E) P(E given D) Conditional Probability Not all data is looked at P (A given B) is written P(A B) P(A B) = P(A and B) P(B) 8

140 employees were asked about their political affiliation P(D given E) 5/48 P(E given D) 5/68 Eye Color / Hair Color Brown Blonde Black Red TOTAL Brown 75 15 25 1 116 Blue 19 25 0 2 46 Green/Hazel 7 4 2 1 14 TOTAL 101 44 27 4 176 P(Brown Hair Brown Eyes) 75/116 P(Blue Blonde) 25/44 9

HW #39 Happiness in marriage: Are people happy in their marriages? The table shows results from the 2006 General Social Survey for married adults classified by gender and level of happiness. Very Happy Pretty Happy Not too Happy TOTAL Male 404 221 12 637 Female 457 291 25 773 TOTAL 861 512 37 1410 a. Estimate the probability that a married adult is very happy. b. Estimate the probability that a married adult is very happy (i) given that their gender is male (ii) given that their gender is female. c. For these subjects, are the events being very happy and being male independent? Bellwork! 1. What is the probability that you are a sophomore? 2. What is the probability that your GPA is 4.0? 3. What is the probability that you have a 3.0 given that you are a junior? 4. What is the probability that you are a freshman given that your GPA is a 2.0? 10

5.3 Notes continued Get: - whiteboards - supply bin Prove for Independence Two events, A and B, are independent if the probability that one occurs is not affected by whether or not the other event occurs. 11

Are events E and D independent? P(E D) = P(E) 5/68 48/140 No, dependent What was the probability of being audited, given that the income was $100,000? 80/10700.0075 12

What was the probability of being audited, given that the income is less than $25,000? 90/14100.0064 A study of 5282 women aged 35 or over analyzed the Triple Blood Test to test its accuracy. 13

So you know... A positive test result states that the condition is present. A negative test result states that the condition is not present. false positive: test states that the condition is present, but it is actually absent false negative: test states that the condition is absent but it is actually present P(Pos) 1355/5282.26 P(D Pos) 48/1355.035 *of the women who tested positive, fewer than 4% actually had fetuses w/ D 14

Multiplication Rule P(A and B) = P(A B) x P(B) also P(A and B) = P(B A) x P(A) Double Fault On the first serve, a tennis player has to get the ball to land in a specific region of the court. If it doesn't, he gets a second chance to serve. Usually, the player is much more careful on the second serve and rarely faults again. 15

Roger Federer 2006 Men's Champion in the Wimbledon tennis tournament on He made 56% of his first serves So, he faulted on the first serve 44% of the time Given that he made a fault with his first serve, he made a fault his second serve only 2% of the time. What's the probability that he makes a double fault? P(F1) =.44 P(F2 F1) =.02 P(F1 and F2) = P(F2 F1) x P(F1) P(A and B) = P(A B) x P(B) also P(F1 and F2) =.44x.02 P(A and B) = P(B A) x P(A) =.0088 Sarena Williams She made 78% of her first serves So, she faulted on the first serve 22% of the time Given that she made a fault with her first serve, she made a fault on her second serve only 4% of the time. What's the probability that she makes a double fault? P(F1) =.22 P(F2 F1) =.04 P(A and B) = P(A B) x P(B) P(F1 and F2) = P(F2 F1) x P(F1) P(F1 and F2) =.22 x.04 =.0088 also P(A and B) = P(B A) x P(A) 16

Are POS and D independent? P(Pos D) = P(Pos) 48/54 1355/5282 No, dependent Review Think/Pair/Share How do we prove independence? P(A and B) = P(A) x P(B) P(A B) = P(A) What does Dependent mean? If P(B) is affected by P(A) What is the formula for P(A B) P(A B) = P(A and B) P(B) 17

Homework Pg. 243 # 30, 31, 33, 37, 39, 40, 43, 46 Nov 14 11:00 AM 18