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This book is a must read for statistics student or teachers at any level and speaks directly to the "I just don't' get it" thought that so many of have experienced. After reading this book-you will get it. In a casual and easy to read manner, Vickers reviews statistical concepts and ideas that have puzzled students for years and explains them in a way that is easy to grasp.
What is a p-value Anyway? offers a fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day.
What is a p-value Anyway? is the perfect complement to any introductory statistics textbook and will succeed in demonstrating the everyday importance of statistics to your class. When I started writing this book, I wondered whether I could write something about statistics that was fun, at least in places.
This is how I came up with the idea of stories; you hear a story to help you understand something and you'll remember it for life. Hopefully, after you have read this textbook, you'll have a good understanding of many of the key ideas of statistics. You'll also be able to avoid making some of the most common statistical mistakes and errors.
Describing data; Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors, and what they teach us
For all readers interested in statistics.
Table of Contents
|How to Read this Book||p. ix|
|I tell a friend that my job is more fun than you'd think: What is statistics?||p. 1|
|So Bill Gates walks into a diner: On means and medians||p. 4|
|Bill Gates goes back to the diner: Standard deviation and interquartile range||p. 7|
|A skewed shot, a biased referee||p. 12|
|You can't have 2.6 children: On different types of data||p. 16|
|Why your high school math teacher was right: How to draw a graph||p. 21|
|Chutes-and-ladders and serum hemoglobin levels: Thoughts on the normal distribution||p. 26|
|If the normal distribution is so normal, how come my dat'a never are?||p. 32|
|But I like that sweater: What amount of fit is a "good enough" fit?||p. 37|
|Variation of Study Results: Confidence Intervals|
|Long hair: A standard error of the older male||p. 41|
|How to avoid a rainy wedding: Variation and confidence intervals||p. 46|
|Statistical ties, and why you shouldn't wear one: More on confidence intervals||p. 50|
|Choosing a route to cycle home: What p-values do for us||p. 54|
|The probability of a dry toothbrush: What is a p-value anyway?||p. 57|
|Michael Jordan won't accept the null hypothesis: How to interpret high p-values||p. 61|
|The difference between sports and business: Thoughts on the t test and the Wilcoxon test||p. 64|
|Meeting up with friends: On sample size, precision and statistical power||p. 70|
|Regression and Decision Making|
|When to visit Chicago: About linear and logistic regression||p. 77|
|My assistant turns up for work with shorter hair: About regression and confounding||p. 84|
|I ignore my child's cough, my wife panics: About specificity and sensitivity||p. 90|
|Avoid the sales: Statistics to help make decisions||p. 95|
|Some Common Statistical Errors, and What They Teach Us|
|One better than Tommy John: Four statistical errors, some of which are totally trivial, but all of which matter a great deal||p. 99|
|Weed control for p-values: A single scientific question should be addressed by a single statistical test||p. 102|
|How to shoot a TV episode: Statistical analyses that don't provide meaningful numbers||p. 105|
|Sam, 93 years old, 700 pound Florida super-granddad: Two common errors in regression||p. 110|
|Regression to the Mike: A statistical explanation of why an eligible friend of mine is still single||p. 116|
|OJ Simpson, Sally Clark, George and me: About conditional probability||p. 119|
|Boy meets girl, girl rejects boy, boy starts multiple testing||p. 124|
|Some things that have never happened to me: Why you shouldn't compare p-values||p. 130|
|How to win the marathon: Avoiding errors when measuring things that happen over time||p. 133|
|The difference between bad statistics and a bacon sandwich: Are there "rules" in statistics?||p. 139|
|Look at your garbage bin: It may be the only thing you need to know about statistics||p. 142|
|Numbers that mean something: Linking math and science||p. 147|
|Statistics is about people, even if you can't see the tears||p. 151|
|Discussion Section Answers||p. 154|
|Credits and References||p. 209|
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