Assertion: sample's distribution | /r/HasProperty | distributed
Facets:
value: normally
type: DEGREE
value: almost always
type: TEMPORAL
Source sentences:
text: The sampling distribution of the mean is normally distributed.
text: The sampling distribution of p is approximately normally distributed if N is fairly large and π is not close to 0 or 1.
text: Note that using z-scores assumes that the sampling distribution is normally distributed, as described above in "Statistics of a Random Sample.
text: The sampling distribution of the median is likely to be normally distributed when the sample size ‘n’ is large.
text: The central limit theorem turns out to be quite important, because at least one of our statistical tests – the z test – requires a sampling distribution that is normally distributed.
text: If the sampling distribution is normally distributed, the sample mean, the standard error, and the quantiles of the normal distribution can be used to calculate confidence intervals for the true population mean.
text: The following figure illustrates a surprising result of a sampling distributions of sample means: it really doesn’t matter what the distribution of individual values looks like, if we make a histogram of many sample means, the distribution will almost always be approximately normally distributed!!
text: To compute this probability, we will make the assumption that the sampling distribution of the mean is normally distributed.
text: Does the population need to be normally distributed for the sampling distribution of x̅ to be normally distributed?