Statistics II For Dummies 1st Edition by Deborah J. Rumsey (PDF)

Description

The ideal supplement and study guide for students preparing for advanced statisticsPacked 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.

User’s Reviews

Editorial Reviews: From the Inside Flap The fun and easy way to enhance your grasp of statisticsNeed 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 testsStart making predictions — master multiple, nonlinear, and logistic regression; check conditions; and interpret resultsAnalyze variance with ANOVA — break down the ANOVA table, one-way and two-way ANOVA, the F-test, and multiple comparisonsConnect with Chi-square tests — examine two-way tables and test categorical data for independence and goodness-of-fitLeap ahead with nonparametrics — grasp techniques used when you can’t assume your data has a normal distributionOpen the book and find:Up-to-date methods for analyzing dataFull explanations of Statistics II conceptsClear and concise step-by-step proceduresDissection of computer outputLots of tips, strategies, and warningsTen common errors in statistical conclusionsEveryday statistics applicationsTables for completing calculations used in the bookLearn to:Increase your skills in data analysisSort through and test modelsMake predictionsApply statistics to real-world situations From the Back Cover The fun and easy way to enhance your grasp of statisticsNeed 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 testsStart making predictions — master multiple, nonlinear, and logistic regression; check conditions; and interpret resultsAnalyze variance with ANOVA — break down the ANOVA table, one-way and two-way ANOVA, the F-test, and multiple comparisonsConnect with Chi-square tests — examine two-way tables and test categorical data for independence and goodness-of-fitLeap ahead with nonparametrics — grasp techniques used when you can’t assume your data has a normal distributionOpen the book and find:Up-to-date methods for analyzing dataFull explanations of Statistics II conceptsClear and concise step-by-step proceduresDissection of computer outputLots of tips, strategies, and warningsTen common errors in statistical conclusionsEveryday statistics applicationsTables for completing calculations used in the bookLearn to:Increase your skills in data analysisSort through and test modelsMake predictionsApply statistics to real-world situations 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. Read more

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐The book expects you to know some basics from your first statistics course, namely what a normal distribution is, how to conduct hypothesis testing, constructing confidence intervals, and others.To me this is fine, it’s called statistics II for a reason. The book is pretty well written for the most part, but the titles for some of the chapters are pretty cheesy.Note to authors: Putting cheesy spins on statistics topics doesn’t make a topic easier to understand!But that’s trivial. My main gripe is that this is a math book. How do you get better at math? By practicing. No where does it ever give you the opportunity to practice. It tells you what to do, but even the author doesn’t give much or any examples. In order to learn math you need to do math, you cannot simply look at how to do problems. The book tells you how to do problems but doesn’t give examples or nuanced examples. There are no problems for you to do.Do not expect to get good at statistics with this book, this is not what the book is for. I don’t mind that the book isn’t for that, but at least tell us in the description that this book has NO PRACTICE! It’s like the most fundamental thing to include for all math textbooks.You are better off looking for another 10 year old statistics book that at least has problems for you to do. Luckily for me this book only serves as a reference but it does not serve as my main go to.I do think the author explains concepts clearly so that is why I gave it 2 stars instead of 1. But I would highly suggest you have already taken one college level statistics course before reading this.

⭐I’m taking a Stats II class that was killing me. This was in addition to my required readings. I haven’t used it a ton because it didn’t have all of what I needed. Read the table of contents before you buy to make sure it has the subject matter you’re looking for. Also – math is hard for me, so if there was like a kids version of “stats II for dummies” that dumbed it down even more, that would have been great.

⭐Excellent book for someone already familiar with basic concepts in Statistics – like standard deviations, distributions, probabilities, etc – and wanting to delve deeper into more sophisticated analysis(parametric vs non-parametric, Spearman’s vs Pearson’s correlation, regressions, ANOVA, etc). Don’t be scared, though, it will present statistical methods with numerous examples and exercises. For me it was especially pleasurable to read as I needed a book that would summarize and categorize the knowledge I already had.

⭐Look, statistics can be overwhelming for language oriented folks like me….so this book helped me enormously through a course required for my BSN….now I can go back to treating patients, at least those within my standard deviation. (joke)

⭐I teach statistics at both the undergraduate and graduate levels. Statistics 2 for Dummies is a well-written and easy-to-understand text which can be easily used in both the classroom and as a secondary reference source. Deborah Rumsey presents plenty of examples along with sufficient clear explanation to help the reader move from one level to the next. Someone well motivated can use this text to learn the basics for more advanced statistics; however, this text would be even more useful with a knowledgeable and patient instructor.I would suggest making one significant change for future editions. The author relies on the Minitab software package when discussing the use of computer aided statistical analysis. There are better, and often cheaper, software packages available for the user. Students will most likely have PASW, formally SPSS, available at most institutions of higher education. In addition, Amazon and many other retail outlets selling to students and faculty will have relatively inexpensive versions of this more powerful software available. While Minitab remains a viable option, and is certainly usable where available, I would recommend that in the next edition the author include instruction for the more popular PASW software package. Similarly, the program Mathematica should be at least mentioned in the text discussing computer aided statistical analysis, especially since this is a top choice for many in mathematics, economics, and many sciences.Rumsey’s book does a very good job in tackling the types of regression in the use in making predictions. In addition the section covering nonparametric methods is very useful. As expected, these are advanced methods for statistical analysis, and the author assumes a moderately strong understanding of basic statistics. Fortunately, the author also refer to her first book, statistics one, to help guide the reader for remedial study.As a professor the book’s greatest advantage is its relatively low price, something very important to today student. It is relatively easy to read, which makes the learning experience better. One item worth noting is the absence of exercises or material to test the reader’s understanding. It would be easier to select this book for use in the classroom if such material were included or readily available from the publisher. Since this text appears to be primarily for the consumer market adding such material to the book would likely raise the price and defeat the purpose of the Dummies line of books. Based on this I typically use this book as a recommended reading and reference for my students.

⭐I bought this to use as a review of some basic concepts and terminology for regression analysis. Unlike many of the other dummies manuals I have purchased, this one leaves you just as confused as your original textbook for the class. It offers no simplification or supplemental hints or other helpful information, particularly in the area of solving or interpreting regression analyses and the results. So unless you are already a statistics expert don’t waste your money on this book.

⭐I have been using this as a way to prepare for an advanced level stats class I am going to take. It covers quite a bit. It has a lot of exercises which seemed like they would have been helpful. I would have rated this higher, but was off put by the fact that it didn’t use the same software (SPSS) that I would be using.

⭐I really wish the company would put a glossary in the back of these books. Other than that, I love them.

⭐I’m not sure if it is just my copy, but the text seems to be printed on tracing paper. It’s like a very poor quality newspaper. The content is good, but I do struggle to read it.

⭐Good beginners book on stats

⭐This one of the most useful books i have bought for my PhD study. Simple language, to the point & tells you about those unspoken rules of statistics! Would certainly recommend.

⭐brilliant book helped me a lot

⭐If you like this sort of thing that is! Plenty of examples and explained in far simpler terms than some other books!

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