Choice Assistance with summaries of Statistics: The Art and Science of Learning from Data - Agresti & Franklin - 4th edition

  Chapter 

Summaries with Statistics: The Art and Science of Learning from Data - Agresti & Franklin

 

Booksummaries to be used with the 4th edition of Statistics

Online: summary in chapters

Print: summary in chapters by post

Print: summary in chapters in support centers

Content Prints with summaries of Statistics

 Booksummary: list of contents for the printed summaries

  • The English printed booksummary contains the following chapters:
    • What is statistics? - Chapter 1
    • How to explore data with graphs and nummerical summaries? - Chapter 2
    • What roles do contingency, correlation and regression play in association testing? - Chapter 3
    • How do you gather data? - Chapter 4
    • What role does probability have in our daily lives? - Chapter 5
    • What are probability distributions? - Chapter 6
    • What are sampling distributions? - Chapter 7
    • Statistical inference: what are confidence intervals? - Chapter 8
    • Statistical inference: What do significance tests say about hypotheses? - Chapter 9
    • How do you compare two groups? - Chapter 10
    • How do you analyze the association between categorical variables? - Chapter 11
    • How do you analyze the association between quantitative variables: regression analysis? - Chapter 12
    • What is multiple regression? - Chapter 13
    • How do you compare groups: analysis of variance methods - Chapter 14
    • What does nonparametric statistics mean? - Chapter 15
  • The Dutch printed booksummary contains the following chapters:
    • Waar gaat Statistics, the art and science of learning from data van Agresti & Franklin over? Chapter 0
    • Wat is het doel van statistiek? - Chapter 1
    • Hoe kun je datagegevens onderzoeken? - Chapter 2
    • Hoe meet je de invloed die variabelen op elkaar kunnen hebben? - Chapter 3
    • Hoe kun je data voor statistisch onderzoek verzamelen? - Chapter 4
    • Hoe werkt statistische kansberekening? - Chapter 5
    • Hoe kun je verschillende kansberekeningen bij elkaar optellen? - Chapter 6
    • Hoe kun je kansberekeningen gebaseerd op steekproeven interpreteren ten opzichte van de "werkelijke situatie"? - Chapter 7
    • Wat is een betrouwbaarheidsinterval? - Chapter 8
    • Hoe kunnen hypothesen worden getoetst? - Chapter 9
    • Hoe kunnen, binnen de statistiek, groepen worden vergeleken? - Chapter 10
    • Hoe kunnen categorische variabelen met elkaar worden geassocieerd? - Chapter 11
    • Wat is een regressieanalyse? - Chapter 12
    • Wat is multipele regressie? - Chapter 13
    • Hoe kun je groepen vergelijken met de ANOVA methode? - Chapter 14
    • Wat is niet parametrische statistiek? - Chapter 15

Booksummary with former editions

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Related summaries & other materials with Statistics

 Alternatives: booksummaries & related summaries

 Knowledge & Study pages: summaries per field of study

ExamTickets with Statistics

 ExamTickets: Tips & Tricks with studying the book

This book provides a short explanation of important basic principles of statistics in an easily accessible manner. If you prefer a more detailed explanation, use summaries with Introduction to the Practice of Statistics by Moore & McCabe in addition to Statistics by Agresti & Franklin.

In the summaries with Statistics from Agresti & Franklin many formulas are used. If you find that difficult you can take a look at the summaries where the same methods and techniques are explained, but with considerably less formulas: Statistics for The Behavioral Sciences by Gravetter & Wallnau and / or the summary of Statistical Methods for Psychology by Howell and / or the General statistics summary - JoHo custom edition.

Understanding statistics is often mainly a matter of practice, practice, practice before you really get it. It helps to visualize the material for yourself: use a software program alongside your statistics book so that you can immediately practice making point charts, box plots, two-way tables, histograms and other data outputs.

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