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What is a P-value anyway?: 34 stories to help you actually understand statistics
Author
Publisher
Addison-Wesley
Publication Date
c2010
Language
English
Description
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Table of Contents
From the Book
I tell a friend that my job is more fun that you'd think: what is statistics?
Describing Data.
So Bill Gates walks into a diner: on means and medians
Bill Gates goes back to the diner: standard deviation and interquartile range
A skewed shot, a biased referee
You can't have 2.6 children: on different types of data
Why your high school math teacher was right: how to draw a graph
Data Distributions.
Chutes-and-ladders and serum hemoglobin levels: thoughts on the normal distribution
If the normal distribution is so normal, how come my data never are?
But I like that sweater: what amount of fit is a "good enough" fit?
Variation of Study Results: Confidence Intervals.
Long hair: a standard error of the older male
How to avoid a rainy wedding: variation and confidence intervals
Statistical ties, and why you shouldn't wear one: more on confidence intervals
Hypothesis Testing.
Choosing a route to cycle home: what p-values do for us
The probability of a dry toothbrush: what is a p-value anyway?
Michael Jordan won't accept the null hypothesis: how to interpret high p-values
The difference between sports and business: thoughts on the t test and the Wilcoxon test
Meeting up with friends: on sample size, precision and statistical power
Regression and Decision Making.
When to visit Chicago: about linear and logistic regression
My assistant turns up for work with shorter hair: about regression and confounding
I ignore my child's cough, my wife panics: about specificity and sensitivity
Avoid the sales: statistics to help make decisions
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
Weed control for p-values: a single scientific question should be addressed by a single statistical test
How to shoot a TV episode: statistical analyses that don't provide meaningful numbers
Sam, 93 years old, 700 pound Florida super-granddad: two common errors in regression
Regression to the Mike: a statistical explanation of why an eligible friend of mine is still single
OJ Simpson, Sally Clark, George and me: about conditional probability
Boy meets girl, girl rejects boy, boy starts multiple testing
Some things that have never happened to me: why you shouldn't compare p-values
How to win the marathon: avoiding errors when measuring things that happen over time
The difference between bad statistics and a bacon sandwich: are there "rules" in statistics?
Look at your garbage bin: it may be the only thing you need to know about statistics
Numbers that mean something: linking math and science
Statistics is about people, even if you can't see the tears.
Author Notes
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ISBN
9780321629302
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