Statistics II for Dummies

Continue your statistics journey with this all-encompassing reference
 
Completed Statistics through standard deviations, confidence intervals, and hypothesis testing? Then you're ready for the next step: Statistics II. And there's no better way to tackle this challenging subject than with Statistics II For Dummies! Get a brief overview of Statistics I in case you need to brush up on earlier topics, and then dive into a full explanation of all Statistic II concepts, including multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and analyzing large data sets. By the end of the book, you'll know how to use all the statistics tools together to create a great story about your data.
 
For each Statistics II technique in 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 tricks for working through the solution. You also find:
* What makes each technique distinct and what the results say
* 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 a lot of examples
 
With Statistics II For Dummies, you will find even more techniques to analyze a set of data. Get a head start on your Statistics II class, or use this in conjunction with your textbook to help you thrive in statistics!

Inhaltsverzeichnis

Introduction 1
 
Part 1: Tackling Data Analysis and Model-Building Basics 7
 
Chapter 1: Beyond Number Crunching: The Art and Science of Data Analysis 9
 
Chapter 2: Finding the Right Analysis for the Job 21
 
Chapter 3: Having the Normal and Sampling Distributions in Your Back Pocket 37
 
Chapter 4: Reviewing Confidence Intervals and Hypothesis Tests 49
 
Part 2: Using Different Types of Regression to Make Predictions 65
 
Chapter 5: Getting in Line with Simple Linear Regression 67
 
Chapter 6: Multiple Regression with Two X Variables 95
 
Chapter 7: How Can I Miss You If You Won't Leave? Regression Model Selection 117
 
Chapter 8: Getting Ahead of the Learning Curve with Nonlinear Regression 129
 
Chapter 9: Yes, No, Maybe So: Making Predictions by Using Logistic Regression 153
 
Part 3: Analyzing Variance with ANOVA 167
 
Chapter 10: Testing Lots of Means? Come On Over to ANOVA! 169
 
Chapter 11: Sorting Out the Means with Multiple Comparisons 189
 
Chapter 12: Finding Your Way through Two-Way ANOVA 205
 
Chapter 13: Regression and ANOVA: Surprise Relatives! 221
 
Part 4: Building Strong Connections with Chi-Square Tests and Nonparametrics 233
 
Chapter 14: Forming Associations with Two-Way Tables 235
 
Chapter 15: Being Independent Enough for the Chi-Square Test 257
 
Chapter 16: Using Chi-Square Tests for Goodness-of-Fit (Your Data, Not Your Jeans) 279
 
Chapter 17: Rebels Without a Distribution -- Nonparametric Procedures 291
 
Chapter 18: All Signs Point to the Sign Test 299
 
Part 5: Putting it All Together: Multi-Stage Analysis of a Large Data Set 309
 
Chapter 19: Conducting a Multi-Stage Analysis of a Large Data Set 311
 
Chapter 20: A Statistician Watches the Movies 325
 
Chapter 21: Looking Inside the Refrigerator 347
 
Part 6: The Part of Tens 361
 
Chapter 22: Ten Common Errors in Statistical Conclusions 363
 
Chapter 23: Ten Ways to Get Ahead by Knowing Statistics 375
 
Chapter 24: Ten Cool Jobs That Use Statistics 385
 
Appendix A: Reference Tables 395
 
Index 409

Über den Autor / die Autorin

Deborah J. Rumsey, PhD, is a Statistics Education Specialist and Associated Professor in the Department of Statistics at The 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.

Zusammenfassung

Continue your statistics journey with this all-encompassing reference

Completed Statistics through standard deviations, confidence intervals, and hypothesis testing? Then you're ready for the next step: Statistics II. And there's no better way to tackle this challenging subject than with Statistics II For Dummies! Get a brief overview of Statistics I in case you need to brush up on earlier topics, and then dive into a full explanation of all Statistic II concepts, including multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and analyzing large data sets. By the end of the book, you'll know how to use all the statistics tools together to create a great story about your data.

For each Statistics II technique in 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 tricks for working through the solution. You also find:
* What makes each technique distinct and what the results say
* 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 a lot of examples

With Statistics II For Dummies, you will find even more techniques to analyze a set of data. Get a head start on your Statistics II class, or use this in conjunction with your textbook to help you thrive in statistics!

Produktdetails

• Autoren: Deborah J Rumsey, Deborah J. Rumsey, Dj Rumsey
• Verlag: Wiley, John and Sons Ltd
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 31.01.2022
• EAN: 9781119827399
• ISBN: 978-1-119-82739-9
• Seiten: 448
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Statistik, Mathematik, Statistics, Wahrscheinlichkeitsrechnung u. mathematische Statistik, Probability & Mathematical Statistics