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  • Power Analysis: An Introduction for the Life Sciences

    Power Analysis by Colegrave, Nick; Ruxton, Graeme D.;

    An Introduction for the Life Sciences

    Series: Oxford Biology Primers;

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      • Publisher's listprice GBP 24.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        11 938 Ft (11 370 Ft + 5% VAT)
      • Discount 10% (cc. 1 194 Ft off)
      • Discounted price 10 745 Ft (10 233 Ft + 5% VAT)

    11 938 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher OUP Oxford
    • Date of Publication 17 November 2020

    • ISBN 9780198846635
    • Binding Paperback
    • No. of pages176 pages
    • Size 245x188x10 mm
    • Weight 360 g
    • Language English
    • 63

    Categories

    Short description:

    Written primarily for mid-to-upper level undergraduates, this compelling introduction to power analysis offers a clear, conceptual understanding of the factors that influence statistical power, as well as guidance on improving and presenting the outcomes of power analyses to justify experimental design decisions.

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    Long description:

    Written primarily for mid-to-upper level undergraduates, this compelling introduction to power analysis in a biological context offers a clear, conceptual understanding of the factors that influence statistical power, and emphasises the importance of high power in experiments. It also explains how to improve the power of an experiment and offers guidance on how to present the outcomes of power analyses to justify experimental design decisions.

    Digital formats and resources

    The book is available for students and institutions to purchase in a variety of formats, and is supported by online resources:
    ? The e-book offers a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks
    ? Online resources include multiple choice questions for students to check their understanding, and, for registered adopters, figures and tables from the book

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    Table of Contents:

    What is statistical power?
    Why low power is undesirable
    Improving the power of an experiment
    How to quantify power by simulation
    Simple factorial designs
    Extensions to other designs
    Dealing with multiple hypotheses
    Applying our simulation approach beyond null hypothesis testing

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