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Statistics II for Dummies (For Dummies)

by

Statistics II for Dummies (For Dummies) Cover

 

Synopses & Reviews

Publisher Comments:

The fun and easy way to enhance your grasp of statistics

Need to expand your statistics knowledge and move on to Statistics II? This friendly, hands-on guide gives you the skills you need to take on multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and other key topics. Statistics II For Dummies also provides plenty of test-taking strategies as well as real-world applications that make data analysis a snap, whether you're in the classroom or at work.

  • Begin with the basics — review the highlights of Stats I and expand on simple linear regression, confidence intervals, and hypothesis tests

  • Start making predictions — master multiple, nonlinear, and logistic regression; check conditions; and interpret results

  • Analyze variance with ANOVA — break down the ANOVA table, one-way and two-way ANOVA, the F-test, and multiple comparisons

  • Connect with Chi-square tests — examine two-way tables and test categorical data for independence and goodness-of-fit

  • Leap ahead with nonparametrics — grasp techniques used when you can't assume your data has a normal distribution

Open the book and find:

  • Up-to-date methods for analyzing data

  • Full explanations of Statistics II concepts

  • Clear and concise step-by-step procedures

  • Dissection of computer output

  • Lots of tips, strategies, and warnings

  • Ten common errors in statistical conclusions

  • Everyday statistics applications

  • Tables for completing calculations used in the book

Learn to:

  • Increase your skills in data analysis
  • Sort through and test models
  • Make predictions

  • Apply statistics to real-world situations

Synopsis:

Featuring new and updated examples, real-world applications, and test-taking strategies for success, this easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), and more.

Synopsis:

The ideal supplement and study guide for students preparing for advanced statistics

Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any reader succeed in an upper-level statistics course. It picks up with data analysis where Statistics For Dummies left off, featuring new and updated examples, real-world applications, and test-taking strategies for success. This easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test.

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About the Author

Deborah Rumsey, PhD, is a Statistics Education Specialist and Auxiliary Faculty Member in the Department of Statistics at Ohio State University. She is also a Fellow of the American Statistical Association and has received the Presidential Teaching Award from Kansas State University. Dr. Rumsey has published numerous papers and given many professional presentations on the subject of statistics education.
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Table of Contents

Introduction.

Part I: Tackling Data Analysis and Model-Building Basics.

Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis.

Chapter 2: Finding the Right Analysis for the Job.

Chapter 3: Reviewing Confi dence Intervals and Hypothesis Tests.

Part II: Using Different Types of Regression to Make Predictions.

Chapter 4: Getting in Line with Simple Linear Regression.

Chapter 5: Multiple Regression with Two X Variables.

Chapter 6: How Can I Miss You If You Won’t Leave? Regression Model Selection.

Chapter 7: Getting Ahead of the Learning Curve with Nonlinear Regressio.

Chapter 8: Yes, No, Maybe So: Making Predictions by Using Logistic Regression.

Part III: Analyzing Variance with ANOVA.

Chapter 9: Testing Lots of Means? Come On Over to ANOVA!

Chapter 10: Sorting Out the Means with Multiple Comparisons.

Chapter 11: Finding Your Way through Two-Way ANOVA.

Chapter 12: Regression and ANOVA: Surprise Relatives!

Part IV: Building Strong Connections with Chi-Square Tests.

Chapter 13: Forming Associations with Two-Way Tables.

Chapter 14: Being Independent Enough for the Chi-Square Test.

Chapter 15: Using Chi-Square Tests for Goodness-of-Fit (Your Data, Not Your Jeans).

Part V: Nonparametric Statistics: Rebels without a Distribution.

Chapter 16: Going Nonparametric.

Chapter 17: All Signs Point to the Sign Test and Signed Rank Test.

Chapter 18: Pulling Rank with the Rank Sum Test.

Chapter 19: Do the Kruskal-Wallis and Rank the Sums with the Wilcoxon.

Chapter 20: Pointing Out Correlations with Spearman's Rank.

Part VI: The Part of Tens.

Chapter 21: Ten Common Errors in Statistical Conclusions.

Chapter 22: Ten Ways to Get Ahead by Knowing Statistics.

Chapter 23: Ten Cool Jobs That Use Statistics.

Appendix: Reference Tables.

Index.

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Product Details

ISBN:
9780470466469
Author:
Rumsey, Deborah
Publisher:
For Dummies
Author:
Rumsey-Johnson, Deborah
Author:
Rumsey, Deborah J.
Subject:
Statistics
Subject:
Probability & Statistics - General
Subject:
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Subject:
Mathematics | Probability and Statistics
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Copyright:
2009
Edition Description:
Lifestyles Paperback
Series:
For Dummies
Publication Date:
20090831
Binding:
Electronic book text in proprietary or open standard format
Language:
English
Illustrations:
Y
Pages:
408
Dimensions:
9.16x7.42x.87 in. 1.34 lbs.
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Product details 408 pages For Dummies - English 9780470466469 Reviews:
"Synopsis" by , Featuring new and updated examples, real-world applications, and test-taking strategies for success, this easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), and more.
"Synopsis" by , The ideal supplement and study guide for students preparing for advanced statistics

Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any reader succeed in an upper-level statistics course. It picks up with data analysis where Statistics For Dummies left off, featuring new and updated examples, real-world applications, and test-taking strategies for success. This easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test.
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