Statistics II For Dummies
2. Edition December 2021
448 Pages, Softcover
General Reading
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!
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
