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    How to Lie with Statistics

    €12.50
    Introduces the reader to the niceties of samples (random or stratified random), averages (mean, median or modal), errors (probable, standard or unintentional), graphs, indexes, and other tools of democratic persuasion.

    What's the Use?: The Unreasonable Effectiveness of Mathematics

    €13.75
    A bestselling author tries to rehabilitate a much-maligned field.

    Numbers: 10 Things You Should Know

    €12.50
    Discover the ten things we all should know about mathematics in this fascinating collection of short essays

    Statistical Tables

    €36.25
    A long established standard student reference. To aid understanding of how many of the tables can be used, there is a section of practical worked examples. Useful formulae are also included.

    Mathematics for Economics and Finance

    €49.01
    An introduction to mathematical modelling in economics and finance.

    Statistics For Dummies

    €18.20
    Statistics For Dummies, 2nd Edition (9781119293521) was previously published as Statistics For Dummies, 2nd Edition (9780470911082). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.

    Handbook of Infectious Disease Data Analysis

    €200.00
    There are many books on infectious disease epidemiology with an emphasis on mathematical modelling, but less so on dataanalytic aspects. This provides a unique and comprehensive account of state-of-the-art methodology for analysis of infectious disease data.

    Fuzzy Thinking

    €18.75
    Fuzzy logic is the next wave in technology. Japanese electronics giants have, in the last ten years, already staked their commercial future on the benefits of fuzzy production; naturally, only recently have European and US companies begun to catch up. This book looks at fuzzy thinking.

    At Sixes and Sevens: How to Underst

    €18.75
    An engaging, accessible introduction into how numbers work and why we shouldn't be afraid of them, from maths expert Rachel Riley.

    Mathematics