(via How surveying 1,000 people tells you what all Americans think | Pew Research Center)

@theartofmadeline
Cosmic Funnies
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Misplaced Lens Cap

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@srqm
(via How surveying 1,000 people tells you what all Americans think | Pew Research Center)
Saving that one for that slide on not showing lone data points, although that particular plot is not about the gender of specific (identifiable) individuals (via the scottbot irregular – data are everywhen).
The p-value is dead, long live the p-value!
Some kind of a blog epitath (via "A Contribution to Statistics" - YouTube).
Tumblr issues
Some changes in the Tumblr engine is making it impossible for me to easily and securely post updates. It was fun while it lasted, though!
Cheers
Update: issues resolved! But I'm short of any time to blog properly in this space for at least one year. See you,
Fr.
[via](https://blogstats.wordpress.com/2015/02/28/data2life/)
probability
David Sparks published similar maps a long time ago, but this goes a step further by plotting survey-weighted data. Brilliant job.
In any case, the p-value is not not not not not “the probability that a perceived result is actually the result of random variation.” The p-value is the probability of seeing something at least as extreme as the data, if the model (in statistics jargon, the “null hypothesis”) were true.
I didn't say that! Part 2 - Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science
(via Language Log » More fun with Facebook: THE)