The proper comparison distribution for the mean of a sample is called the distribution of means and is used because:
A)comparing the mean of a sample to a population distribution of individual scores is a mismatch
B)the available population parameters are inaccurate and reflect too little variance within the population
C)the distribution of means is likely to have more varied scores than would be represented in the population
D)the proper comparison distribution is stated in the null hypothesis

Question

Quizplus · Accepted Answer

Comparing the mean of a sample to a population distribution of individual scores is a mismatch because the sample mean represents a group of scores that are more homogeneous than the population as a whole, and the distribution of means provides a more accurate comparison distribution.

The Proper Comparison Distribution for the Mean of a Sample