Assertion: sample | /r/HasProperty | random
Facets:
Source sentences:
text: If the sample is random, the shape of the histogram should be similar to the shape of the population distribution.
text: If the population is infinite and sampling is random, or if the population is finite but we’re sampling with replacement, then the sample variance is equal to the population variance divided by the number of samples, so the variance of the sampling distribution is given by
text: A sample that is not random is called a non-random sample or a non-probability sampling.
text: His estimates used Bayes' theorem with a uniform prior probability and assumed that his sample was random.
text: Yet the probability of having a very poor sample tends to be quite small, as long as the samples are random and sufficiently large.
text: Often we’ll be told in the problem that sampling was random.
text: A sample that is not random is called a non-random sample or a non-probability sampling.