Lingua: Inglese
Editore: Cambridge University Press CUP, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: Majestic Books, Hounslow, Regno Unito
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Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
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Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: GreatBookPrices, Columbia, MD, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Each chapter of this book covers specific topics in statistical analysis, such as robust alternatives to t-tests or how to develop a questionnaire. They also address particular questions on these topics, which are commonly asked by human-computer interaction (HCI) researchers when planning or completing the analysis of their data. The book presents the current best practice in statistics, drawing on the state-of-the-art literature that is rarely presented in HCI. This is achieved by providing strong arguments that support good statistical analysis without relying on mathematical explanations. It additionally offers some philosophical underpinnings for statistics, so that readers can see how statistics fit with experimental design and the fundamental goal of discovering new HCI knowledge. Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers' knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 41,02
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Aggiungi al carrelloPaperback. Condizione: Brand New. 235 pages. 8.75x6.00x0.50 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 235 pages. 8.75x6.00x0.50 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: CitiRetail, Stevenage, Regno Unito
EUR 45,83
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Each chapter of this book covers specific topics in statistical analysis, such as robust alternatives to t-tests or how to develop a questionnaire. They also address particular questions on these topics, which are commonly asked by human-computer interaction (HCI) researchers when planning or completing the analysis of their data. The book presents the current best practice in statistics, drawing on the state-of-the-art literature that is rarely presented in HCI. This is achieved by providing strong arguments that support good statistical analysis without relying on mathematical explanations. It additionally offers some philosophical underpinnings for statistics, so that readers can see how statistics fit with experimental design and the fundamental goal of discovering new HCI knowledge. Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers' knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: moluna, Greven, Germania
EUR 47,40
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Aggiungi al carrelloCondizione: New. Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers knowledge of the modern best practice in statistics and their unde.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 72,24
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Each chapter of this book covers specific topics in statistical analysis, such as robust alternatives to t-tests or how to develop a questionnaire. They also address particular questions on these topics, which are commonly asked by human-computer interaction (HCI) researchers when planning or completing the analysis of their data. The book presents the current best practice in statistics, drawing on the state-of-the-art literature that is rarely presented in HCI. This is achieved by providing strong arguments that support good statistical analysis without relying on mathematical explanations. It additionally offers some philosophical underpinnings for statistics, so that readers can see how statistics fit with experimental design and the fundamental goal of discovering new HCI knowledge. Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers' knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press Mär 2019, 2019
ISBN 10: 110871059X ISBN 13: 9781108710596
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 57,18
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Each chapter of this book covers specific topics in statistical analysis, such as robust alternatives to t-tests or how to develop a questionnaire. They also address particular questions on these topics, which are commonly asked by human-computer interaction (HCI) researchers when planning or completing the analysis of their data. The book presents the current best practice in statistics, drawing on the state-of-the-art literature that is rarely presented in HCI. This is achieved by providing strong arguments that support good statistical analysis without relying on mathematical explanations. It additionally offers some philosophical underpinnings for statistics, so that readers can see how statistics fit with experimental design and the fundamental goal of discovering new HCI knowledge.