The text points out that the amount of sampling error introduced by random selection changes with the size of the sample and with the homogeneity of the population from which it is selected. Taking these points into account, explain how it is that stratified sampling can result in less sampling error that multi-stage cluster sampling. After all, isn't random selection random selection, no matter which type of sampling is used?

Question

Quizplus · Accepted Answer

The Answer of The text points out that the amount of sampling error introduced by random selection changes with the size of the sample and with the homogeneity of the population from which it is selected. Taking these points into account, explain how it is that stratified sampling can result in less sampling error that multi-stage cluster sampling. After all, isn't random selection random selection, no matter which type of sampling is used?

The Text Points Out That the Amount of Sampling Error