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For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
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For graduate and upper-level undergraduate marketing research courses.
For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis.
Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.
In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Multivariate Data Analysis
Editore:
Pearson Higher Education, 2013
ISBN 10: 129202190X
ISBN 13: 9781292021904
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Da: medimops, Berlin, Germania
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Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Codice articolo M0129202190X-G
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Multivariate Data Analysis PNIE
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Pearson Higher Education, 2013
ISBN 10: 129202190X
ISBN 13: 9781292021904
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Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
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Condizione: Acceptable. Used - Acceptable. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library with wear and barcode page may have been removed. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-C-042-02989
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Multivariate Data Analysis: Pearson New International Edition
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Pearson Education Limited, United Kingdom, Harlow, 2013
ISBN 10: 129202190X
ISBN 13: 9781292021904
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Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo GOR012272567
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Multivariate Data Analysis PNIE
Editore:
Pearson Higher Education, 2013
ISBN 10: 129202190X
ISBN 13: 9781292021904
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Paperback
Da: Wrigley Books, Austin, TX, U.S.A.
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Paperback. Condizione: acceptable. Used items may not include media like access codes or CDs. Fast shipping! Expedited orders take 1-3 business days! Media mail may take up to 5 business days. Codice articolo 3C-9781292021904-A
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