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!
Discover more techniques to analyze data!
Afraid you'll never understand the difference between regression and analysis of variance? Good news - the odds are on your side! With explanations, step-by-step directions, and useful tips and tricks, Statistics II For Dummies is your go-to guide for learning more advanced statistical concepts. Once you work through the examples, you'll be well on your way to bringing everything together to create a great story about your own data.
Inside?
- Review the art and science of data analysis
- Create scatterplots and correlations
- Assess multiple regression models
- Analyze variance with ANOVA
- Form associations with two-way tables
- Apply statistics techniques in real life
- Avoid common statistical errors
