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  • Fuzzy Systems and Data Mining IV: Proceedings of FSDM 2018

    Fuzzy Systems and Data Mining IV by Pering, Tom; Tallón-Ballesteros, Antonio J.; Li, Kaicheng; Fujita, Hamido;

    Proceedings of FSDM 2018

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      • Publisher's listprice GBP 150.00
      • 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.

        71 662 Ft (68 250 Ft + 5% VAT)
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    71 662 Ft

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    Out of print

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    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:

    • Edition number 1#1#1#1#1#1#1
    • Publisher SAGE Publications Ltd
    • Date of Publication 1 December 2025

    • ISBN 9781614999263
    • Binding Paperback
    • No. of pages988#1056#176#806#202#80#288 pages
    • Size 242x170 mm
    • Language English
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    Categories

    Short description:

    A succinct, no-frills introduction to social science data and statistics. It uses visual maps and prompts to communicate the potential of social data and to introduce the basic statistical tools available to beginners.

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    Long description:

    Do you find mastering research and statistical methods in the vast field of social sciences daunting? This book serves as an accessible introduction, guiding you through the core concepts needed to navigate data with confidence. From designing a study to presenting results, this text goes back to basics and provides a modern approach to understanding statistics.


    This first edition also offers:



    • Comprehensive Coverage: Explores essential statistical methods relevant to social sciences, from descriptive statistics to spatial and temporal pattern analysis.

    • An Accessible Writing Style: Engages students with a science communication approach, simplifying complex concepts.

    • Visual Learning: Utilises figures and graphics to enhance understanding, making data presentation a key focus.

    • Global Relevance: Includes examples with broad global applicability.


    With an array of online resources, this book is a must-have resource for building foundational skills in research and statistics as a beginner social scientist.

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    Table of Contents:

    Chapter 1: Why you should love numbers as a social scientist
    Chapter 2: The Foundations of Data Handling and Statistics
    Chapter 3: How we conduct research
    Chapter 4: Handling everyday numbers
    Chapter 5: Data presentation - how to choose and use the correct graph
    Chapter 6: Describing your data and how it varies
    Chapter 7: Understanding sampling and what statistical significance really means
    Chapter 8: How normal is your data?
    Chapter 9: When is a difference between variables real?
    Chapter 10: Real or spurious – the reality of association and correlation
    Chapter 11: Relationships between two or more variables
    Chapter 12: Exploring patterns between categorical variables
    Chapter 13: Exploring patterns in space
    Chapter 14: Exploring patterns in time
    Chapter 15: Outro

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