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The Art of Statistical Thinking: Detect Misinformation, Understand the World Deeper, and Make Better Decisions.

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Not knowing statistics can lead to a loss of money, time, and accurate information.

What am I looking at? What do these numbers mean? Why? These are frequent thoughts of those who don’t know much about statistics.

“I’m not a numbers person” is not a good excuse to avoid learning the basics of this essential skill. Are you a person who earns money? Do you shop at the supermarket? Do you vote? Do you read the news? I’m sure you do.

Learn to make decisions like world leaders do.

Do you like to make uninformed, often poor decisions? Are you okay with being manipulated by skewed charts and diagrams? How about being lied to about the effectiveness of a product? Statistics can help you make exponentially better calls on what to buy, who to listen to, and what to believe.

This book offers a detailed, illustrated breakdown of the fundamentals of statistics. Develop and use formal logical thinking abilities to understand the message behind numbers and charts in science, politics, and economy. Sharpen your critical and analytic thinking skills.

Know what to look for when analyzing data. This step-by-step guide not only helps you detect what goes wrong in statistics but also educates you on how to utilize invaluable information statistics gets right to your benefit.

Avoid making decisions on misleading information. How to Use Descriptive and Inferential Statistics to Understand the World. Make Better Decisions Using Probability. Understand Potential Bias in Studies. Albert Rutherford is the internationally best-selling author of several books on systems thinking, game theory, and mathematical thinking. Jae H. Kim is a freelance writer in econometrics, statistics, and data analysis. Since obtaining his PhD in econometrics in 1997, he has been a professor in major Australian universities until 2022. He has published more than 70 academic articles and book chapters in economics and applied statistics.

PLEASE When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

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Published November 9, 2022

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About the author

Albert Rutherford

68 books75 followers

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Displaying 1 - 6 of 6 reviews
Profile Image for Seth Loudermilk.
7 reviews1 follower
December 30, 2024
As someone who wanted a gentle introduction to statistics, this book both did that and provided a critique of modern statistical thinking and assumptions. In turn, this book offers an alternative to said thinking.
Profile Image for LeoQuiroa.
50 reviews
January 13, 2023
Don't take me wrong it is a good book but the title is misleading, I thought this book will explain a statistical think methodology or a way to apply statistical thinking in my day to day. But, it is more a statistical review pocket reference plus examples of null hypothesis, bias sampling, correlation not causation, level of significance among others controversial topics. In summary, it is a good book with curated content but not to develop the art of statistical thinking.
Profile Image for Michael Mcfarren.
396 reviews4 followers
July 19, 2023
Spot on

After years of studying statistics I’ve not had as clear, concise review as presented here. I will be rereading this book and using it as a reference to improve my statistical prowess.
Profile Image for Ram T.
48 reviews
January 18, 2023
16. A book on a subject you know nothing about.

The title mislead me on this one. While I did take a couple of statistics courses in undergraduate and graduate school, they didn’t dive into actually using the statistics to influence my decision making and how to think as a statistician, which is what I was hoping this book would do for me. It turns out it really just is a pocket guide for statistics terms and examples. Maybe I misunderstood that using statistical analysis in my day to day really means.
Profile Image for Marcus Goncalves.
810 reviews6 followers
December 24, 2022
The author tried to convey how statistics is misused consistently People are hacking the p value, their sample is biased, their results are not reproducible. But the author does not really offer a good coverage of stat analysis, mostly the math part.
21 reviews
January 4, 2024
The title is the best part. Picked up some useful stuff. Did not keep me up at night. The world definitely need books like this, and more people that understand statistics.
Displaying 1 - 6 of 6 reviews

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