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1 For a geometric random variable with parameters p and q, let r denote the probability that the rst success occurs in no more than n trials (a) Show that r = 1 qn (b) Now let r vary and show a graph of r and n 2 A sample of size 2 has been selected from the uniform distribution 1, 2, , n, but it is not known whether n = 5 or n = 6 It is agreed that if the sum of the sample is 6 or greater, then it will be decided that n = 6 This decision rule is subject to two kinds of errors: we could decide that n = 6 while in reality n = 5, or we could decide that n = 5 while in reality n = 6 Find the probabilities of each of these errors 3 A lot of 100 manufactured items contains an unknown number, k, of defective items Items are selected from the lot and inspected, and the inspected items are not replaced before the next item is drawn The second defective item is the fth item drawn What is k (Try various values of k and select the value that makes the event most likely) 4 A hypergeometric distribution has N = 100, with D = 10 special items Samples of size 4 are selected Find the probability distribution of the number of special items in the sample and then compare these probabilities with those from a binomial distribution with p = 010 5 Flip a fair coin, or use a computer to select random numbers 0 or 1, and verify that the expected waiting time for a head to appear is 2

The SMS Client MTM reference is accessed by means of the MTM registry using a xed UID. Creating a Rich Text object requires some intermediate objects that we don t really care about, so we just view this code as boiler-plate .

In their local environment, they are free to change the shared ontology However, they are not allowed to directly change the shared ontology The control board collects change requests to the shared ontology and logs local adaptations (either continuously or at control points)..

CHAPTER OBJECTIVES:

void CRSmsMsg::ConstructL(CMsvSession *aMsvSession) { iMsvSession = aMsvSession; iMtmRegistry = CClientMtmRegistry::NewL(*iMsvSession); iSmsMtm = static_cast<CSmsClientMtm*>(iMtmRegistry-> NewMtmL(KUidMsgTypeSMS)); iParaFormatLayer = CParaFormatLayer::NewL(); TCharFormat format(_L("Arial"),150); format.iFontPresentation.iTextColor=KRgbWhite; format.iFontPresentation.iHighlightColor=KRgbBlack; format.iFontPresentation.iHighlightStyle= TFontPresentation ::EFontHighlightRounded; TCharFormatMask mask; mask.SetAttrib(EAttColor); mask.SetAttrib(EAttFontHighlightColor); mask.SetAttrib(EAttFontHighlightStyle); iCharFormatLayer = CCharFormatLayer::NewL(format,mask);

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Analysis: The board analyses the local ontologies and the requests for changes and tries to identify similarities in users ontologies We expect tools that allow an ef cient analysis of the change requests Since not all of the changes introduced or requested by the users will be introduced to the shared core ontology,7 a crucial activity of the board is deciding which changes are going to be introduced in the next version of the shared ontology The input from users provides the necessary arguments to underline change requests A balanced decision that takes into account the different needs of the users and meets their evolving requirements8 has to be found Moreover, this decision must follow good knowledge representation practices Revise: The board should regularly revise the shared ontology, so that local ontologies do not diverge too far from the shared ontology.

to consider seven-game play-off series in sports to discover when the winner of the series is in fact the better team to nd the in uence of winning the rst game on winning the series to discuss the effect of extending the series beyond seven games

iRichText = CRichText::NewL(iParaFormatLayer, iCharFormatLayer, CEditableText::ESegmentedStorage, 2048); iWaiter = CMsvOperationWait::NewLC(); CleanupStack::Pop(); // iWaiter }

We pause now in our formal development of probability and statistics to concentrate on a particular application of the theory and ideas we have developed so far Sevengame play-off series in sports such as basketball play-offs and the World Series present a waiting time problem In this case, we wait until one team has won a given number of games We analyze this problem in some depth

The goal of the revision is to realign the ontology with the obvious user needs and thus gaining higher acceptance, sharedness and less local differences Therefore, the board should have a well balanced and representative participation of the different kinds of participants involved in the process: knowledge engineers, domain experts, ontology engineers and users In this case, users are involved in ontology development, at least through their requests and reoccurring improvements and by evaluating it, mostly from an usability point of view (understanding, actual advantage of use) Domain experts are responsible for evaluating it from a domain point of view ( does it represent the domain or does it contain factual errors ) Knowledge engineers in the board are responsible for evaluating the ontology, mostly from a domain and technical point of view (ef ciency, standards conformance, logical properties like satis ability).

In a seven-game series, the series ends when one team has won four games This is another waiting time problem and gives us a nite sample space as opposed to the in nite sample spaces we have considered Let the teams be A and B with probabilities of wining an individual game as p and q, where p + q = 1 We also assume that p and q remain constant throughout the series and that the games are independent; that is, winning or losing a game has no effect on winning or losing the next game We look rst at the sample space The series can last four, ve, six, or seven games We show here the ways in which team A can win the series

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