With the use of stratified sampling a researcher wants to reduce the:
A) sampling error
B) standard error
C) number of dependent variables
D) time it takes to draw a sample

Question

Quizplus · Accepted Answer

Stratified sampling is a technique that divides the population into non-overlapping subgroups called strata and then draws a random sample from each stratum based on certain criteria. This reduces the sampling error because it ensures that each stratum is represented proportionately in the sample, which leads to more accurate estimates of the population parameters. However, stratified sampling does not necessarily affect the standard error, number of dependent variables, or time it takes to draw a sample.

With the Use of Stratified Sampling a Researcher Wants to Reduce