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Essential Statistics for Bioscientists First Edition

Essential Statistics for Bioscientists First Edition pdf

Essential Statistics for Bioscientists 1st Edition

af Mohammed Meah (forfatter
  • Publisher ‏ : ‎ Wiley; 1st edition (August 2, 2022)
  • Language ‏ : ‎ English
  • FORMAT ORIGINAL PDF/PRINT REPLICA
  • ISBN-10 ‏ : ‎ 1119712009
  • ISBN-13 ‏ : ‎ 978-1119712008

14.00 USD

In Essential Statistics For Bioscientists, experienced university and bioscientist Dr Mohammed Meah delivers easy access to statistical analysis and data presentation. It is a great resource for students in the field of life and health sciences to conceptualize, analyze, and present data. This book uses three popular and commonly used statistics softwares—Microsoft Excel, Graphpad Prism, and SPSS—and offers clear, step-by-step instructions for essential data analysis and graphical/tabular display of data.

  • Beginning with fundamental statistics terminology and concepts, including data types, descriptive statistics (central and spread of data), exploratory statistics (graphical display) and inferential statistics (hypothesis testing and correlation), the content gradually builds in complexity, explaining which statistical test is best suited and how to perform it.
    A thorough introduction to basic statistical terms and building up to an advanced level of statistical application- ideal for those new to study of statistics
    Extensive application of three popular software packages- Microsoft Excel, Graphpad Prism and SPSS
    Numerous hands-on examples of performing data analysis using Microsoft Excel, Graphpad Prism, and SPSS
    Considers the limitations and errors of statistical analysis
    Essential reading for those designing and planning a research project in Biosciences
  • Perfect for undergraduate students in the life and health sciences, Essential Statistics For Bioscientists will also earn a place in the libraries of anyone studying medicine, nursing, physiotherapy, pharmacy, and dentistry requiring a refresher or primer on statistical fundamentals.
  • Fra bagcoveret

    Dyk ned i de mest almindelige statistiske test og softwarepakker, der bruges til videnskabelig dataanalyse og fortolkning In Væsentlige statistikker for biovidenskabsfolk, erfaren universitetslektor og biovidenskabsmand Dr. Mohammed Meah giver nem adgang til statistisk analyse og datapræsentation. Denne bog er en fantastisk ressource for studerende inden for livs- og sundhedsvidenskab til at konceptualisere, analysere og præsentere data. Bogen bruger tre populære og almindeligt anvendte statistiksoftware - Microsoft Excel, Graphpad Prism og SPSS - og tilbyder klare, trinvise instruktioner til essentiel dataanalyse og grafisk/tabel visning af data. Begyndende med grundlæggende statistikterminologi og begreber, herunder datatyper, beskrivende statistik (central og spredning af data), eksplorativ statistik (grafisk visning) og inferentiel statistik (hypotesetestning og korrelation), opbygges indholdet gradvist i kompleksitet og forklarer, hvilken statistisk test der er bedst egnet til en given operation og hvordan den udføres.

    • A thorough introduction to basic statistical terms, building up to an advanced level of statistical application— ideal for those new to the study of statistics
    • Extensive application of three popular software packages— Microsoft Excel, Graphpad Prism and SPSS
    • Numerous hands-on examples of performing data analysis using Microsoft Excel, Graphpad Prism, and SPSS
    • Considers the limitations and errors of statistical analysis
    • Essential reading for those designing and planning a research project in Biosciences

    Perfect for undergraduate students in the life and health sciences, Essential Statistics For Bioscientists will also earn a place in the libraries of anyone studying medicine, nursing, physiotherapy, pharmacy, and dentistry requiring a refresher or primer on statistical fundamentals.

    Om forfatteren

    Mohammed Meah, PhD, er universitetslektor og programleder i medicinsk fysiologi og humanbiologi ved University of East London i London, Storbritannien

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