The comparison distribution for the mean of a sample is the distribution of means because
A)comparing the mean of a sample to a distribution of a population of scores of individuals 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 research hypothesis.

Question

Quizplus · Accepted Answer

Comparing the mean of a single sample to the distribution of individual scores in a population does not accurately reflect the variability and distribution expected from sample means. The distribution of means (also known as the sampling distribution of the mean) is used because it accounts for the expected variability among sample means, providing a more appropriate comparison for statistical inference.

The Comparison Distribution for the Mean of a Sample Is