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≡ Descargar Free Statistics for People Who Hate Statistics Neil J Salkind 9781412971027 Books

Statistics for People Who Hate Statistics Neil J Salkind 9781412971027 Books



Download As PDF : Statistics for People Who Hate Statistics Neil J Salkind 9781412971027 Books

Download PDF Statistics for People Who Hate Statistics Neil J Salkind 9781412971027 Books

used for school

Statistics for People Who Hate Statistics Neil J Salkind 9781412971027 Books

The author goes through how to compute in Excel which is helpful. What I find lacking is a clear and concise definition of the terms in some cases. I’d also like to have a few more examples with visuals for discussion to help me grasp the concepts - for example, I looked up the simple definition of t-test, WHY would you compare two means of variable populations? What does that tell me about my data? Just as important to how to do something is why you’re doing it. I also don’t care for the distracting remarks meant to lighten the tone and make people more comfortable. I like to be funny in most cases, but it’s a little distracting here at times.

Product details

  • Paperback
  • Language English
  • ISBN-10 1412971020
  • ISBN-13 978-1412971027
  • ASIN B0075L24Y2

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Statistics for People Who Hate Statistics Neil J Salkind 9781412971027 Books Reviews


Such a good foray into statistics, it explains so much information so well and you don't feel treated like a child, rather you are treated like a human being who has logical and sometimes silly thoughts. This book should be every professors/teachers first book for any students that are starting statistics. This makes sure that people aren't scared of statistics but excited about all the possibilities of it.
Easy to read, loved the interactive videos, practice with SPSS, links to research. I would have given it 5 stars but some of the answer keys did not explain well enough. There were also several correction pages that needed to be accounted for-I didn't like that. However, the author, Neil Salkind seems like a person who would make a nice neighbor or friend-funny guy!
The book is useful and informative, I am successful in my statistics course so far. The author provides entertaining commentary for each chapter which makes statistics entertaining. Each chapter is short and sweet-to the point and allows the reader to practice the problems at the end which reinforces calculations explained in the book.
Great book for the statistically challenged. Emphasizes the how's and why's opposed to just assigning a bunch of numbers to crunch. The only negative comment I have is related to the lack of alternate technology explained. IBM's SPSS is the only technology for which solving the equations is given. SPSS works great, but is expensive and complicated to learn, and was not required for my class. Other technology is available such as graphing calculators and MS Excel. If the book covered their use as well, I would give it 10 stars(if possible).
This book explains statistics in simple language so that anyone can understand. This is not the case for most stats books! I have taken several 500 and 600 level statistics courses, and I still go back to this book occasionally to review something or read how to explain it to someone else. I recommend this book to everyone I know taking statistics
I DO hate stats, but this book actually is making my statistics class bearable. I'm not numerically inclined AT ALL and was terrified I wouldn't be able to get the concepts down enough for my major, but it's proven to be a good companion to my professor's lectures. I got the kindle version and I'm quite happy with it.
I can not say it will make anyone like statistics but it is better than the usual statistic textbook, for sure. It gives many other examples of why statistics are important, beyond the usual behavioral science explanations, which is cool, plus, the author totally gets that most taking statistics, are forced to take it, therefore caters to those that fit in that category and really attempts to make one‘s statistics class, not suck, as much )
The author goes through how to compute in Excel which is helpful. What I find lacking is a clear and concise definition of the terms in some cases. I’d also like to have a few more examples with visuals for discussion to help me grasp the concepts - for example, I looked up the simple definition of t-test, WHY would you compare two means of variable populations? What does that tell me about my data? Just as important to how to do something is why you’re doing it. I also don’t care for the distracting remarks meant to lighten the tone and make people more comfortable. I like to be funny in most cases, but it’s a little distracting here at times.
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