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Statistics for People Who (Think They) Hate Statistics [with Using Microsoft Excel 2016]
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
Paperback
Published August 8, 2016
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Displaying 1 - 6 of 6 reviews
September 20, 2020
Rounded up to 4 stars. Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 by Neil Salkind, Paperback edition.
This was bought for a graduate level intro to stats class and includes some of what other class members thought.
Mandarin Chinese, computer programing, theoretical physics and advanced philosophy are all very easy. If your brain works that way, or you were raised in China. Then there are the rest of us. As it happens, I have become the Stats guy in my office, and between us I am not a stats guy. I was seriously afraid that I would not survive this class.
Because the book makes it clear that Excel 2016 will do most of the heavy math, I survived and maybe did well.
I came away with a better understanding of why stats exist and are important. Also a few more tools I can apply to these kinds of problems. And gratitude that the office is stats adverse so we tend to never go into most of these directions.
To those who say: The are lies, damn lies and statistics. Why are you so happy to have damn lies? If you know even a little about stats you know that they are about error checking. Or how to detect and avoid lies. Absent this kind of error checking you are left with those same lies and no way to address them.
Back to the book. Stats for People Who Hate Stats is another approach to the ever larger family of XYAZ for Dummies. It is generally respectful of reader and assume little about their ability to become deeply interested in the concepts. Each tool is introduced, partial described, there is an example an exercise then more discussion. I found this outline hard to adopt. I would have preferred all discussion up from then the mechanics all in one stretch. Mostly the class liked the generally lighter tone. Saljkind had on running joke of name of his book., but that evidentially worn thin for him and it eventually goes away.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 is a typical intro level stats book. There are many more academic and deeper texts. My recommendation for those whose brain is not bent that way, use this book for what it is then look for on line videos to take you deeper into those tools or concepts that interest you.
This was bought for a graduate level intro to stats class and includes some of what other class members thought.
Mandarin Chinese, computer programing, theoretical physics and advanced philosophy are all very easy. If your brain works that way, or you were raised in China. Then there are the rest of us. As it happens, I have become the Stats guy in my office, and between us I am not a stats guy. I was seriously afraid that I would not survive this class.
Because the book makes it clear that Excel 2016 will do most of the heavy math, I survived and maybe did well.
I came away with a better understanding of why stats exist and are important. Also a few more tools I can apply to these kinds of problems. And gratitude that the office is stats adverse so we tend to never go into most of these directions.
To those who say: The are lies, damn lies and statistics. Why are you so happy to have damn lies? If you know even a little about stats you know that they are about error checking. Or how to detect and avoid lies. Absent this kind of error checking you are left with those same lies and no way to address them.
Back to the book. Stats for People Who Hate Stats is another approach to the ever larger family of XYAZ for Dummies. It is generally respectful of reader and assume little about their ability to become deeply interested in the concepts. Each tool is introduced, partial described, there is an example an exercise then more discussion. I found this outline hard to adopt. I would have preferred all discussion up from then the mechanics all in one stretch. Mostly the class liked the generally lighter tone. Saljkind had on running joke of name of his book., but that evidentially worn thin for him and it eventually goes away.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 is a typical intro level stats book. There are many more academic and deeper texts. My recommendation for those whose brain is not bent that way, use this book for what it is then look for on line videos to take you deeper into those tools or concepts that interest you.
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November 28, 2022all i remember is this book pissed me off & i like statistics
July 13, 2024
To be clear, I would not have read this book if I didn’t have to for a statistics course I had to take in my bachelor’s degree program. But, for what it’s supposed to be, I think it’s pretty good. Each concept is spelled out in a really simple and easy to understand way, and it breaks every math, and SPSS concept down step by step in an easy to understand format. The only gripe that I have with this book is that it’s really boring, but it is kinda hard to make a statistics textbook a page turner.
October 16, 2021
Helpful, insightful, with guided examples in statistical problem solving via handwritten examples.
Also inclusive of guided formulas using specific programs such as excel for research data analysis.
Concise and understandable. Enjoyed it.
Also inclusive of guided formulas using specific programs such as excel for research data analysis.
Concise and understandable. Enjoyed it.
March 15, 2020
As much as I hate the title, this book was practical, step-by-step, straightforward stats.
July 29, 2021
Read this book for my Ed Tech Specialist degree. Hated stats 30 years ago and with this book liked it a whole lot more
Displaying 1 - 6 of 6 reviews