Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107005515 ISBN 13: 9781107005518
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Hardcover. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107005515 ISBN 13: 9781107005518
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 98,33
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107005515 ISBN 13: 9781107005518
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 190,64
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Provides a straightforward conceptual explanations of statistical methods for the life sciences, specially designed for students lacking a strong mathematical background. Num Pages: 420 pages, 199 b/w illus. 102 tables 51 exercises. BIC Classification: PBT; PS. Category: (U) Tertiary Education (US: College). Dimension: 154 x 236 x 25. Weight in Grams: 784. . 2011. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107005515 ISBN 13: 9781107005518
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.