Statistics II For Dummies
eBook - PDF

Statistics II For Dummies

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Statistics II For Dummies

About this book

Continue your statisticsjourneywith this all-encompassing reference

CompletedStatistics throughstandard deviations, confidence intervals, and hypothesis testing? Then you're ready forthe next step: Statistics II. And there's no betterwayto tacklethis challenging subjectthan with Statistics IIForDummies!Get a brief overview ofStatisticsIin caseyouneed tobrush up on earlier topics, and then dive intoa full explanation of all Statistic II concepts, includingmultiple regression, analysis of variance (ANOVA), Chi-squaretests, nonparametric procedures, and analyzing large data sets.Bythe end of the book, you'll know how touseall thestatisticstoolstogether to create a great story about your data.

For eachStatistics IItechniquein the book, you get an overview of when and why it's used, how to know when you need it, step-by-step directions on how to do it, and tips and tricksfor working through the solution.Youalso find:

  • What makes each technique distinct and what the resultssay
  • How to apply techniques in real life
  • An interpretation of the computer output for data analysis purposes
  • Instructions for using Minitab to work through many of the calculations
  • Practice with alot of examples

With Statistics IIForDummies, you willfind even more techniques to analyze a set of data.Get a head start on your Statistics II class, or usethisin conjunction with yourtextbook to help you thrive in statistics!

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Yes, you can access Statistics II For Dummies by Deborah J. Rumsey in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics in Education. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Title Page
  2. Copyright Page
  3. Table of Contents
  4. Introduction
  5. Part 1 Tackling Data Analysis and Model-Building Basics
  6. Part 2 Using Different Types of Regression to Make Predictions
  7. Part 3 Analyzing Variance with ANOVA
  8. Part 4 Building Strong Connections with Chi-Square Tests and Nonparametrics
  9. Part 5 Putting it All Together: Multi-Stage Analysis of a Large Data Set
  10. Part 6 The Part of Tens
  11. Appendix Reference Tables
  12. Index
  13. EULA