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What is a p-value anyway? 34 Stories to Help You Actually Understand Statistics Andrew J. Vickers
Publisher: Addison Wesley

They could report lots of answers corresponding to many priors. Bottom-Line: An excellent introduction to statistical analysis.” Log in to Reply. If we go the Bayesian route, what priors will they use? 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. Does it really matter if the wording is a bit misleading? Gmgraham@rollins.edu on April 23, 2013 at 10:56 pm said: What is a p-value anyway? Like it or not, frequentist statistics is, for the most part, the accepted way of doing statistics for particle physics. Statistics at it core is What do you understand by a confidence interval ? Tags: What is a p-value anyway? The big picture is: the evidence for the effect is overwhelming. Story of a dry toothbrush to illustrate the basic funda of p-value. You might think that in some cases you can use historical values: in the general population, x% are prone to get disease D, and they recover in y days on average. If you take a random sample of people who have taken a stats101 course at some point in their lives and ask them what was the course all about , a most likely answer would be, "It was something to do with p-values". When we say "the treatment is effective with statistical significance p=1%" it means that if there were no difference between the treatment group and the control group, we would expect to see results like this (favoring the treatment group) 1% of 34 Stories to Help You Actually Understand Statistics by Andrew Vickers. I think we reinforce our image as pedants if we complain about this. He is active in a variety of fields of cancer research, and also conducts original research in statistical methods, particularly with respect to the evaluation of prediction models. What does one mean by Null Hypothesis ? How does one verbalize p-value ? 34 Stories to Help You Actually Understand Statistics".