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Autor(en): 
  • Jim Frost
  • Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  September 2024  
    Genre:  Schulbücher 
    ISBN:  9798991193566 
    EAN-Code: 
    9798991193566 
    Verlag:  Statistics By Jim Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 157 mm / D 20 mm 
    Gewicht:  568 gr 
    Seiten:  286 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    BONUS! Hardcover edition contains a 30-page bonus chapter! Additional Summary Statistics and Methods Learn statistics without fear! Build a solid foundation in data analysis. Be confident that you understand what your data are telling you and that you can explain the results to others! I'll help you intuitively understand statistics by using simple language and deemphasizing formulas. This guide starts with an overview of statistics and why it is so important. We proceed to essential statistical skills and knowledge about different types of data, relationships, and distributions. Then we move to using inferential statistics to expand human knowledge, how it fits into the scientific method, and how to design and critique experiments. Learn the fundamentals of statistics:Why is the field of statistics so vital in our data-driven society? Interpret graphs and summary statistics. Find relationships between different types of variables. Understand the properties of data distributions. Use measures of central tendency and variability. Interpret correlations and percentiles. Use probability distributions to calculate probabilities. Learn about the normal and binomial distributions in depth. Grasp the differences between descriptive and inferential statistics. Use data collection methodologies properly and understand sample size considerations. Design and critique scientific experiments-whether it's your own or another researcher's. Free access to downloadable datasets to follow along with the examples.

      



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