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Statistics for Absolute Beginners (Second Edition) - Paperback
Statistics for Absolute Beginners (Second Edition) - Paperback
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by Oliver Theobald (Author)
Most statistics textbooks are designed for mathematicians. This one is designed for you.
Written in plain English and illustrated throughout to support visual learners, this book removes the fear and confusion from learning statistics.
Most beginner stats books lead with complex formulas and follow with dry, textbook examples. This book does the opposite. The story comes first, and the methods emerge naturally from it. From a dentist who faked a marathon to a golfer who crossed Mongolia with a single iron club, the case studies are genuinely interesting stories that happen to teach statistics, helping you remember each method because you remember the story.
What you'll learn:- Learn the essentials of probabilistic prediction with real-life examples, from gambling in 16th-Century Italy to calculating the likelihood of your friends showing up to dinner.
- Design and conduct Z-Tests and T-Tests with confidence, using step-by-step worked examples you can immediately apply to your own data.
- Build and interpret linear regression models and Pearson correlation to uncover relationships hidden in your data.
- Master the essentials of hypothesis testing and learn to distinguish what is statistically meaningful from what happened purely by chance.
- Discover clustering analysis techniques used daily in machine learning, marketing, and data science.
- Understand how the U.S. Air Force got cockpit design dangerously wrong by trusting the average - and what that teaches you about data variability and standard deviation.
- High school or college students who need extra help with a book to complement their AP or a general statistics textbook
- Professionals looking for an easy-to-read probability and statistics book for beginners
- Aspiring analysts needing an introduction to statistics
- Anyone overwhelmed by dense statistics books, or those who found statistics for dummies too generic
- Learners looking to bridge into statistics for data science, marketing, and machine learning
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