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Lesson 5 - 3 Independence and the Multiplication Rule Objectives • Understand independence • Use the Multiplication Rule for independent events • Compute at-least probabilities Vocabulary • Independent – two events are independent if the occurrence of E does not affect the probability of event F • Dependent – two events are dependent if the occurrence of E affects the probability of event F Multiplication Rules for Independent Events If E and F are independent events, then P(E and F) = P(E) ∙ P(F) If events E, F, G, ….. are independent, then P(E and F and G and …..) = P(E) ∙ P(F) ∙ P(G) ∙ …… Example: P(rolling 2 sixes in a row) = ?? Example: P(rolling 5 sixes in a row) = ?? At least Probabilities P(at least one) = 1 – P(complement of “at least one”) = 1 – P(none) Example: P(rolling a least one six in three rolls) = ?? = 1 - P(none) = 1 – (5/6)• (5/6)• (5/6) = 1 – 0.5787 = 0.4213 Example 1 There are two traffic lights on the route used by Pikup Andropov to go from home to work. Let E denote the event that Pikup must stop at the first light and F in a similar manner for the second light. Suppose that P(E) = .4 and P(F) = .3 and P(E and F) = .15. What is the probability that he: a) must stop for at least one light? = 1 - P(none) = 1 – (0.6)• (0.7) = 1 – 0.42 = 0.58 b) doesn't stop at either light? = (1-P(E)) • (1-P(F)) = 0.6 • 0.7 = 0.42 c) must stop at exactly one light? = P(E) + P(F) – P(E and F) = 0.4 + 0.3 – 0.15 = 0.55 d) must stop just at the first light? = 0.4 Example 2 Single-family Condo Multi-family Adjustable .40 .21 .09 Fixed .10 .09 .11 A large lending institution gives both adjustable and fixed rate mortgages on residential property. It breaks residential property into three categories: single-family, condo, and multi-family. The accompanying table, sometimes called a joint probability table displays the probabilities for the problem: a) What is the probability of having a fixed rate mortgage? = 0.1 + 0.09 + 0.11 = 0.3 b) What is the probability of having an adjustable mortgage and owning a condo? = 0.21 c) What is the probability of having a fixed mortgage or owning a single-family home? = P(f) + P(sf) – P(f and sf) = 0.3 + 0.5 – 0.1 = 0.7 Summary and Homework • Summary – Disjoint events are not necessarily independent – The Multiplication Rule applies to independent events, the probabilities are multiplied to calculate an “and” probability – Probabilities obey many different rules • • • • • Probabilities must be between 0 and 1 The sum of the probabilities for all the outcomes must be 1 The Complement Rule The Addition Rule (and the General Addition Rule) The Multiplication Rule • Homework – pg 282 - 283: 11, 12, 17, 19, 23