tutorial02-F09

tutorial02-F09 - ISMT 111 BUSINESS STATISTICS TUTORIAL 2...

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1 ISMT 111 B USINESS S TATISTICS T UTORIAL 2 created by Andrew Yam Terminology § Experiment: obtaining one observation § Sample Space ( S ): the set of all possible outcomes of an experiment § Simple Event: an element of the sample space § Event: a subset of the sample space General Properties of Probabilities § If A is an event, then ( 29 1 0 A P . § ( 29 1 = S P § If the set of simple events E 1 , E 2 , . . ., E r represents the sample space S for an experiment, then ( 29 1 1 1 = = r i E P . § If A occurs when one of a set of k simple events E 1 , E 2 , . . ., E k occurs, then ( 29 ( 29 ( 29 ( 29 k E P E P E P A P + + + = ... 2 1 . Event Composition and Event Relations § Intersection of A and B , denoted by AB (also as B A ) is the event that both A and B occur. § Union of A or B , denoted by B A is the event that A or B or both occur. § Complement of A , denoted by A (also, c A or ' A ), consists of all the simple events in the sample space that are not in A . ( 29 ( 29 A P A P - = 1 § Two events

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2 Additional Rule of Probability § ( 29 ( 29 ( 29 ( 29 AB P B P A P B A P - + = § If A & B are mutually exclusive, then ( 29 ( 29 ( 29 B P A P B A P + = . Conditional probability The conditional probability of B given that A has occurred is ( 29 ( 29 ( 29 A P AB P A B P = | , for ( 29 0 A P . Independent events
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This note was uploaded on 12/30/2009 for the course ISOM ISOM111 taught by Professor Anthonychan during the Spring '09 term at HKUST.

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tutorial02-F09 - ISMT 111 BUSINESS STATISTICS TUTORIAL 2...

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