Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10 5/26/83; site ihuxr.UUCP Path: utzoo!linus!decvax!harpo!gummo!whuxlb!pyuxll!eisx!npoiv!npois!hogpc!houxm!ihnp4!ihuxr!lew From: lew@ihuxr.UUCP Newsgroups: net.math Subject: Bayes' theorem & coin problem Message-ID: <566@ihuxr.UUCP> Date: Fri, 19-Aug-83 10:47:33 EDT Article-I.D.: ihuxr.566 Posted: Fri Aug 19 10:47:33 1983 Date-Received: Fri, 19-Aug-83 16:44:42 EDT Organization: BTL Naperville, Il. Lines: 28 The "Principle of Restricted Choice" would appear to be a restricted form of Bayes' Theorem, which is the following: If a sample space is divide into n subsets (called events), Hi, and E is an event, then the conditional probability P( Hi | E ) is given by: P(Hi | E) = P(Hi) * P(E | Hi) / sum j=1,n of P(Hj) * P(E | Hj) Note that an "event" is some set of sample points, not a single sample point. There may be several ways for an event to occur. In the coin problem, E is "picked gold first" and the Hi are, "picked box 1", "picked box 2", and "picked box 3". So P(H1) = P(H2) = P(H3) = 1/3 and P( gold first | box 1 ) = 0 P( gold first | box 2 ) = 1/2 P( gold first | box 3 ) = 1 so P( box1 | gold first ) = 0 P( box2 | gold first ) = 1/3 P( box3 | gold first ) = 2/3 Of course, this is all just a rehashing of the analysis that rabbit!ark gave, except that it allows you to retain the idea of picking a box, then a drawer. Lew Mammel, Jr. ihuxr!lew