Free Ebook Statistics For Dummies (For Dummies (Math & Science))
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Statistics For Dummies (For Dummies (Math & Science))
Free Ebook Statistics For Dummies (For Dummies (Math & Science))
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From the Back Cover
Grasp statistical ideas, formulas, and calculations Interpret graphs and polls and determine probability Analyze data using many techniques The simple way to study statistics Stymied by statistics? Fear not! In easy-to-understand terms, this guide shows you how to make sense of statistics. From collecting, graphing, and critiquing data to calculating confidence intervals and hypothesis tests, you'll have everything you need to analyze data with confidence. In no time, you'll be deciphering binomial, normal, t-, and sampling distributions; tackling regression and two-way tables; and much more. Inside… Plain-English definitions Understanding and critiquing polls Information on organizing data Explanations of random variables Facts about the Central Limit Theorem Data analysis tools
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About the Author
Deborah J. Rumsey, PhD, is Professor of Statistics and Statistics Education Specialist at The Ohio State University. She is the author of Statistics Workbook For Dummies, Statistics II For Dummies, and Probability For Dummies.
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Product details
Series: For Dummies (Math & Science)
Paperback: 416 pages
Publisher: For Dummies; 2 edition (June 7, 2016)
Language: English
ISBN-10: 1119293529
ISBN-13: 978-1119293521
Product Dimensions:
7.3 x 1 x 9.1 inches
Shipping Weight: 1.8 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
300 customer reviews
Amazon Best Sellers Rank:
#11,003 in Books (See Top 100 in Books)
I bought this to prepare for a course. This is more of an opinion book on how the media presents stats, there are some examples of how the stats are calculated, but not at any real depth. Really disappointed. Wish I would not have bought the Kindle version. I would have returned it. If you are looking for something to prep for a class or learning about statistics this is NOT your book. Keep looking. EZ Statistics from Barron's or the Schaum's books are pretty good.
Let me put it like this: My husband struggled a lot with this subject and didn't feel prepared at all.He is otherwise a 4.9 GPA student, but this subject had him completely confused.We bought this book and he used it a lot.This book enabled him to get an A in this class. There was no way he would have passed the class without this book.If you are required to take statistics in college, get this book. It'll help you more than any other official resource.
This book saved my Statistics! I'm a graduate student and I need to know about stats for my research. I have taken stats classes but I did not do well. In order to finish my dissertation I have to relearn it. This book talks about the basic concepts in plain English. I was able to understand the basic concepts that the professors never explained in the classes. Once the basics are understood, all the advanced Stats just make sense to me now. I also bought the Statistics for Dummies II from the same author and she talks about more advanced Statistics that I will be actually using for my dissertation. I highly recommend this book to those who are not good at Mathematics and Statistics and want to learn it from the basic, in plain English.
I wanted to broaden my knowledge of statistics without being overwhelmed, and this book was a great find as the explanations and the examples are very clearly stated and worked out in a fashion that was easy to follow. The author's deep knowledge, love of statistics, and coherent writing made reading this book a pleasure as it's provided my confidence to start digging deeper into more advanced topics related to statistics and probability.
Next week, about 30 high school science teachers will be taking the last of a series of five workshops intended to help them be more skilled. My task as #5 is to tune 'em up in statistics. I wanted a book they could take with them, one that was (1) relatively affordable, (2) a go-to in finding an appropriate approach to a wide range of statistical questions, and (3) reasonably up-to-date. After considerable search, I concluded this was likely to be a best fit.So why "Statistics for Dummies?"-- Most statistics books seemed to be either too-brief pamphlets or really really expensive texts. At the Amazon new book price of around $12, this sure seemed relatively affordable for the amount of information--Very good coverage of descriptive statistics, probability in theory & practice, inferential statistics for parametric situations, and clear strong apt advice to help achieve sound use of statistics and avoid some of the horrors, such as significance trolling.There are 21 chapters, organized into three sections --Part 1 (Vital Statistics About Statistics), Chapters 1, 2, 3, 4, including everyday applications and tools of the trade such as definitions of variable, popularion, and confidence interval --Part II (Number-Crunching Basics), Chapters 5, 6, 7, on central tendency, graphing categorical data, graphing numerical data --Part IIII ( Distributions and the Central Limit Theorem), Chapters 8, 9, 10, 11 introducing random variables and the binomal distribution, the normal distribution, and the t-distribution, sampling distributions and the central limit theorem -- Part IV (Guestimating and Hypothesizing with Confidence) Chapters 12, 13, 14, 15, covering confidence concepts & indicators, p value concepts & applications, hypothesis testing formulae and examples --Part V ( Statistics Studies and the Hunt for a Meaningful Relationship) with Chapters 16, 17, 18, and 19 dealing mostly with correlations and regression for quantitative, normally distributed data, two-way tables and probabilities --Part VI is two bonus chapters, one on data sleuthing and the other on "ten surefire ways to boost your statistics exam score."There's a good index and an appendix with the Z-table, the t-table, a set of bionomial tables up to n=20 each with a page of specific instructions on how to get p values or otherwise use the three tables. In all, 370 pages in the style---typography, side icons, and profuse examples including worked-out computations, of the 'for dummies" series.ANY ALERTS? Yes.--As other reviewers have eloquently said, this is suuplementary, an adjunct, a source-book text not a substitute for a full-on course in statistics. However, it seems great for purposes such as mine where I can give the students sections to read and pages for finding...as handy for my own use--BOOK II IS NEEDED!!!! There is little on non-parametric measures beyond offering the median, mode, sem-interquartile range and such. Statistics for Dummies ii (which I review separately) is 390 pages covering the Chi Square test and its varied applications, as well as signed ranks, Kruskal-wallis, and the somewhat more advanced analyses such as regression, multiple regression, ANOVA, MANOVA, and dealing with non-linearity. Yes, there is some overlap but II is worth i's relatively low costOVERALL: The American Statistical Association released in March 2016 its first ever institutional statement on a major statistical policy (Wasserman and Lazar, The ASA's statement on p-values: context, process, and purpose.) This is NOT a book but a free. downloadable statement and does not compete with the published text such as "Statistics for Dummies."Some reviewers were concerned about a possible over-emphasis on warnings, advice, and no-nos as maybe filler material. So I cross-walked the ASA policy statements on p values re context, process, and purpose. EVERY ITEM ASA emphasized is covered in this book, vividly, often, and appropriately. To me, that's underscoring author Deborah J. Rumsey's mastery of her material and ability to communicate it --- and of a certain ESP since this book was written well-before the ASA statement.Thank you, Professor Rumsey.Bottom line: I highly recommend "Statistics for Dummies."
I am still plowing thru this book to meet my goal to get a comprehensive, conceptual understanding of statistical concepts and related math, not an ability to "do" statistics in the mathematical sense. The beginning sections were easy to understand and I was eager to keep going. Unfortunately, the author's text and graphs for the (much more complicated) topics presented in Section 3, Distributions and the Central Limit Theorem, were not up to her earlier clear style. I had to resort to internet research in order to understand the mathematical concept, and notation, for combination possibilities. Then, I was lucky to land on a very good site for a clear description explaining "sampling" vs "taking samples". In some of the author's text, I could not tell which she was talking about. By far, my biggest gripe is omission of an explicit Y-axis in graphs. For most there is no Y-axis. For one, the Y-axis is "density", a term not in the index. Based on what I learned from the internet, the density technique of graphing is important enough to merit explanation. Without understanding the Y-axis of a graph, it is impossible to form a sentence "for this x we can state this y".Overall, I am pleased with this book, and will finish it but at a much slower rate due to much re-reading over and over, and then ultimately giving up to go to the internet. I admit that the later sections are an intellectual stretch for me.
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