Statistics II For Dummies

by Deborah J. Rumsey

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  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    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! 

Genres: Mathematics, Reference, Science, Nonfiction, German Literature, Business

448 pages, Paperback

First published August 19, 2009

Reviews

[Scottsdale Public Library · Rating 5 out of 5]

The reason I picked up this book was, my Econ professor talked about regression analysis in multivariable environments to give a more accurate estimate with respect to confounding and other variables.

My objective for this book was more to figure out how to do the actual regressions. To that end it was quite a good review of regression.

For readers that haven’t taken a basic stats course, the book would be a tough read without a deep education in Math. But as a next step up from Stat 1, this book is really quite good and highly recommended.

For me, finally learning about regression analysis 50 years after graduating with a math degree, it was the perfect elixir to smooth my ignorance of a very import statistical tool. -Tom L.

[Quek · Rating 4 out of 5]

good for one who wants to perform data analysis. provides some intuitive explanation of some tests.

[Nic · Rating 2 out of 5]

Clear and well-written as you'd expect from a book in this series.

HOWEVER, despite comments and reviews to the contrary, this book does explicitly refer back to the first book on numerous occasions.

[Vikas · Rating 4 out of 5]

I never knew I will enjoy reading about discrete choice modelling! Smartly hides difficult mathematics.