Assertion: sample's distribution | /r/HasProperty | symmetrical
Facets:
value: for a fair coin
type: TRANSITIVE-OBJECT
Source sentences:
text: It will work well in cases where the bootstrap distribution is symmetrical and centered on the observed statistic and where the sample statistic is median-unbiased and has maximum concentration (or minimum risk with respect to an absolute value loss function).
text: The normal distribution is a continuous probability distribution that is symmetrical on both sides of the mean, so the right side of the center is a mirror image of the left side.
text: As the binomial distribution is symmetrical for a fair coin, the two-sided p-value is simply twice the above calculated single-sided p-value: the two-sided p-value is 0.115.