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Weil beide Teile dieses Buches Wahrscheinlichkeitsrechnung als eine Einheit aufzufassen sind, die nur aus tech- nischen Gr nden auf zwei B nde aufgeteilt wurde, geben wir auf der folgenden Seite das Inhaltsverzeichnis f r beide B nde an. Da sowohl die Seiten als auch die Kapi- tel des Gesamttextes  ber den ersten Band hinaus fortlaufend numeriert sind, kann es dabei keine Mi verst ndnisse geben. Ein ausf hrliches Stichwortverzeichnis, welches sich ebenfalls auf den Gesamttext bezieht, ist jedem der beiden B nde an- gef gt. Karlsruhe, im M rz 1979 die Autoren INHALT TEIL 1 EI NFOHRUNG . . . . . - . . . . - . . - . . - . . . . - . . - . . . - . . - . . - . . . . . . . - . . . . . . . . . . . - . . . . . . . . . . 1 1. EREIGNISSE UND WAHRSCHEINLICHKElTEN . . -. . . . -. . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Aufgaben - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - . - . - - - - - - - - - - - - - - - 28 2. 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Diese Verfahren stellen eine Ver- bindung zwischen Wahrscheinlichkeitsrechnung und Beschreibender Statistik her, indem sie eine optimale Anpassung wahrscheinlichkeitstheoretischer Modelle an beobachtetes Datenmaterial bewirken oder umgekehrt eine Oberpr fung der- artiger Modellvorstellungen anhand konkreter Daten erm glichen. Die Methoden der Schlie enden Statistik werden in zunehmendem Ma e in allen Bereichen der Forschung, in den Natur- und Ingenieurwissenschaften, in den Wirtschafts-, Sozial- und Erziehungswissenschaften sowie vor allem auch in der Medizin eingesetzt. In weiten Bereichen der beruflichen Praxis in Industrie, Wirtschaft und Verwaltung haben sich die wichtigsten Sch tz- und Testverfahren einen festen Platz erworben, von dem sie nicht mehr wegzudenken sind. Im Rahmen des schulischen Mathematikunterrichts bietet Schlie ende Statistik zahlreiche M glichkeiten, Wahrscheinlichkeitsrechnung lebensnah und inter- essant zu gestalten. Die grundlegenden Begriffe vor allem der Testtheorie k nnen bereits in einen ersten Kurs  ber Wahrscheinlichkeitsrechnung einge- baut werden. Insbesondere lassen sich viele der sogenannten parameterfreien Verfahren schon sehr fr h erl utern - etwa im Anschlu  an die Kombinatorik (bspw. der Vorzeichentest oder der Iterationstest) oder nach Behandlung der Binomialverteilung ( der Binomialtest). Das vollst ndige Gedankengeb ude der Sch tz- bzw. 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