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Probability Rules!!! Section 5.2 Reference Text: The Practice of Statistics, Fourth Edition. Starnes, Yates, Moore Objectives 1. Probability Models – Sample Space -Probability Model - Event 2. Basic Probability Rules – Compliment “not A” -Mutually exclusive (disjoint) 3. Addition Rule – P(A or B) =P(A) + P(B) 4. Two way tables 5. Venn Diagrams – Intersections and Unions. Probability Models Some lingo to get down • Toss a coin. What are the possible outcomes? • A: Heads or tails! This is what's know as our sample space • Roll a regular 6-sided die. What are the possible outcomes? • ____ ____ _____ _____ ____ ____ • Probability model: some chance process that consists of two parts: Sample space S, and probability for each one…. Lets look at rolling two 6-sided die! What are the outcomes? Events • With the two dice rolled, we could find any collection of outcomes and their probabilities. • This is what’s known as an Event- any collection of outcomes from some chance process. Events are assigned capital letters such as A,B,C • P(A) where A= sum of 5. Compliment Lets try some more! • • • • A = sum of 5 B = sum is not 5 C = sum is 6 Find the probability of the following: P(A)= P(B)= P(C)= P(A or C)= - Notice how P(A) +P(B) = 1 Basic Rules of Probability Mutually Exclusive (disjoint) • Two events are mutually exclusive if they have no outcomes in common and so can never occur together. • Example: if one event occurs in 40% of all trials, and a different event occurs in 25% of the trials, and the two can never occur together, then one or the other occurs on 65% of the trials. 40% + 25% = 65% Check for Understanding • Chose an American adult at Random. Define two events: A = the person has a cholesterol level of 240 milligrams per deciliter of blood (mg/dl) or above. (High cholesterol) B= The person has a cholesterol level of 200 to 239 (borderline high cholesterol) • According to the American Heart Association: P(A) = 0.16 and P(B) = 0.29 1. Explain why events A and B are mutually exclusive. 2. Say in plain language what the event “A or B” is. What is P(A or B)? 3. If C is the event that a person chosen has normal cholesterol (below 200 mg/dl) what's P(C) Two way Tables • Students in college stats class wanted to find out how common it is for young adults to have their ears pierced. They recorded data on two variables- gender and whether the student had a pierced ear – for all 178 people in class. The two way table below displays the data. Pierced ears? Gender Yes No Total Male 19 71 90 Female 84 4 88 Total 103 75 178 A= male B= pierced ears • Suppose we chose a student from the class at random. Find the probability that the student • (a) has pierced ears • (b) is a male with pierced ears • (c) is male or has pierced ears Venn Diagrams Event A P(A) = 90/178 Event B P(B) = 103/178 P(A and B) = 19/178 Venn Diagram General Addition Rule • The Venn Diagram suggests to fix this “double counting” • P(A or B) = P(A) + P(B) – P(A and B) = 90/178 + 103/178 – 19/178 = 174/178 Intersection and Unions • If we are talking about “A and B” then we can also call this the intersection of A and B. The corresponding notation is A П B • If we are talking about “A or B” then we can also call this the Union of A and B. The corresponding notation is A U B Venn Diagram: Intersection and Unions Objectives 1. Probability Models – Sample Space -Probability Model - Event 2. Basic Probability Rules – Compliment “not A” -Mutually exclusive (disjoint) 3. Addition Rule – P(A or B) =P(A) + P(B) 4. Two way tables 5. Venn Diagrams – Intersections and Unions. Test Results! • • • • • • Grade: Amount: Marginal % ……A......……....1.……….5% …….B…………...9……...47% 68% Passed …….C…………..3..……...16% …….D…………..5.……...26% …….F…..............1………..5% 31% Failed • Mean: 79% Max: 92% Min: 58% No Outliers Tracking AP Stats • 2014-2015 (WHS) • • • • • • Ch. 1 Test Ch. 2 Test A5 A5 B5 B6 C6 C4 D2 D1 F1 F2 Ch. 3 Test Ch. 4 Test A3 A1 B5 B9 C6 C3 D2 D5 F2 F1 Homework Worksheet