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? Then lets learn to make decisions like world leaders do.
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, designed to help develop and use formal logical thinking abilities to understand the message behind numbers in politics, and economy.
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.
About the Author
Albert Rutherford is an internationally best-selling author, celebrated for his exceptional contribution to unraveling the intricacies of complex topics. His main goal is to make learning accessible and enjoyable, transforming dense subject matter into content that's digestible for all readers. He excels at breaking down barriers between people and the knowledge they seek, making his books a favorite among lifelong learners.
Rutherford has an academic background in both the sciences and humanities, fostering his unique, multi-disciplinary approach to authorship. His range of subjects spans from systems thinking and game theory to mathematical and critical thinking. This breadth of topics underpins his mission to expand horizons, challenge perspectives, and foster intellectual growth.
Jae H. Kim holds a PhD in econometrics (1997) and has been a professor at leading Australian universities until 2022. With over 70 published academic articles and book chapters, his research has garnered nearly 5,000 citations, significantly advancing financial market efficiency, time series forecasting, and statistical inference.
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