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

What is a p-value anyway? 34 Stories to Help You Actually Understand Statistics



Download What is a p-value anyway? 34 Stories to Help You Actually Understand Statistics




What is a p-value anyway? 34 Stories to Help You Actually Understand Statistics Andrew J. Vickers ebook
ISBN: 0321629302, 9780321629302
Publisher: Addison Wesley
Page: 223
Format: pdf


To understand the idea, it helps to look at a simpler case. I'm less certain you could get a jury to agree, because basic probability and statistics education is severely lacking in our country. 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. 34 Stories to Help You Actually Understand Statistics". Water Purification: The Definitive Guide to Water Purification, Storage, and Acquisition. I think the best, in spite of it's apparently-technical name, is "What is a p-value anyway? 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. Does it really matter if the wording is a bit misleading? 34 Stories to Help You Actually Understand Statistics. I think we reinforce our image as pedants if we complain about this. The big picture is: the evidence for the effect is overwhelming. Offers a fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. Like it or not, frequentist statistics is, for the most part, the accepted way of doing statistics for particle physics. Studies have shown that doctors misinterpreting the statistical meaning of test results is a worldwide .. They could report lots of answers corresponding to many priors. If we go the Bayesian route, what priors will they use?

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