In sampling distributions,all the samples contain sets of raw scores
A)with the same variance.
B)from the same raw score population.
C)with the same mean.
D)that are representative of the population mean.

Question

Quizplus · Accepted Answer

Sampling distributions are created by repeatedly taking samples from the same population. Therefore, all the samples will contain sets of raw scores from the same raw score population. The samples may not necessarily have the same mean or variance, as these values can vary between different samples. However, the central limit theorem tells us that as the sample size increases, the means of the samples will converge to the population mean, and the distribution of sample means will become approximately normal regardless of the shape of the original population distribution.

In Sampling Distributions,all the Samples Contain Sets of Raw Scores