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evenly matched Does the actual record suggest that the teams are not evenly matched 3 Compare the actual expected length of the series with the theoretical expected length Do the data suggest that the teams are not evenly matched 4 Find data showing the winner of the rst game in a seven-game series and determine how often that team wins the series

Successful scenarios for ontology-based applications OntoWeb deliverable 21, France Telecom R&D Leger A, Bouillon Y, Bryan M, Dieng R, Ding Y, Fernandez-Lopez M, Gomez-Perez A, Ecoublet P, Persidis A, Sure Y 2002b Best practices and guidelines OntoWeb deliverable 22, France Telecom R&D Mann WC, Thompson SA 1987 Rhetorical structure theory: A theory of text organization In The Structure of Discourse, Polanyi L (ed) Ablex Publishing Corporation: Norwood, NJ Motik B, Maedche A, Volz R 2002 A conceptual modeling approach for semantics driven enterprise applications In Meersman R, Tari Z, et al (eds) 2002 Proceedings of the Confederated International Conferences: On the Move to Meaningful Internet Systems (CoopIS, DOA, and ODBASE 2002), Vol 2519 of Lecture Notes in Computer Science (LNCS), University of California, Irvine, USA Springer, pp 1082 1099 Musen M, Neumann B, Studer R (eds) 2002 Intelligent Information Processing Kluwer Academic Publishers: Boston, Dordrecht, London.

CHAPTER OBJECTIVES:

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void CMsgWait::Start() { iStatus = KRequestPending; SetActive(); } void CMsgWait::RunL() { delete this; }

to develop the negative binomial probability distribution to apply the negative binomial distribution to a quality control problem to show some practical applications of geometric series to show how to sum some series which are not geometric (without calculus) to encounter the Fibonacci sequence when tossing a coin to show an unfair game with a fair coin to introduce the negative hypergeometric distribution to consider an (apparent) logical contradiction

Nicola AD, Navigli R, Missikoff M 2005 Building an eProcurement ontology with UPON methodology In Proceedings of 15th e-Challenges Conference, Ljubljana, Slovenia..

We can then use this class to asynchronously send the SMS message. When the sending completes, the CMsgWait object will be noti ed, but it will not care. This means that we cannot tell whether or not the send was successful, but we can use the event handler for this purpose.

We now turn our attention to some problems usually not considered in an introductory course in probability and statistics, namely, waiting time problems As we have seen in problems involving the binomial probability distribution, we consider a xed number of trials and calculate the probability of a given number of successes Now we consider problems where we wait for a success, or a given number of successes, or some pattern of successes and failures

ge Noy N, Fergerson R, Musen M 2000 The knowledge model of Prote -2000: Combining interoperability and exibility Vol 1937 of Lecture Notes in Arti cial Intelligence (LNAI), Juan-les-Pins, France Springer, pp 17 32 Noy N, Klein M 2003 Ontology evolution: Not the same as schema evolution Knowledge and Information Systems Noy, N McGuinness D L 2001 Ontology development 101: A guide to creating your rst ontology Technical Report KSL-01-05 and SMI-2001-0880, Stanford Knowledge Systems Laboratory and Stanford Medical Informatics Pinto HS, Martins J 2001 A methodology for ontology integration In Proceedings of the First International Confrence on Knowledge Capture (K-CAP2001), New York ACM Press, pp 131 138 Schreiber G, Akkermans H, Anjewierden A, de Hoog R, Shadbolt N, van de Velde W, Wielinga B 1999 Knowledge Engineering and Management The CommonKADS Methodology The MIT Press: Cambridge, Massachusetts; London, England Spyns P, Meersman R, Jarrar M 2002.

// Send the actual message CMsvEntry* parentEntry = CMsvEntry::NewL( *iMsvSession, newEntry.Parent(), TMsvSelectionOrdering()); CleanupStack::PushL(parentEntry); CMsgWait* waiter = CMsgWait::NewLC(); waiter->Start(); parentEntry->CopyL( newEntry.Id(), iSmsMtm->ServiceId(), waiter->iStatus); CleanupStack::Pop(waiter); // It will destroy itself CleanupStack::PopAndDestroy(parentEntry); return(newEntry.Id()); }

Recall, from 5, that in a binomial situation we have an experiment with one of the two outcomes, which, for lack of better terms, we call success and failure We must also have a constant probability of success, say p, and consequently a constant probability of failure, say q where of course p + q = 1 It is also necessary for the experiments, or trials, to be independent In this situation, it is common to de ne a random variable, X, denoting the number of successes in n independent trials We

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