In this context n is the sample size of the number people, and p is the associated chance that this would occur by chance. In classical statistics one generally cares about results that have a p < .05 (that is there’s a less than 1⁄20 chance of the result occurring due to random chance).
Yes, but it’s worth spelling out the heresy more explicitly. A good LW Bayesian isn’t supposed to regard the number .05 as somehow special. Also, the whole notion of p values is misguided and counterproductive. Any more questions?
Forgive my noobity, but what are n, p in n=1 so p>>>.05?
In this context n is the sample size of the number people, and p is the associated chance that this would occur by chance. In classical statistics one generally cares about results that have a p < .05 (that is there’s a less than 1⁄20 chance of the result occurring due to random chance).
Yes, but it’s worth spelling out the heresy more explicitly. A good LW Bayesian isn’t supposed to regard the number .05 as somehow special. Also, the whole notion of p values is misguided and counterproductive. Any more questions?