What is the relationship between sampling error and sample size?
A) there is no relationship between sampling error and the size of the sample
B) sampling error relates to the confidence interval, not the sample size
C) sampling error will let us know the size of the sample once we decide upon how much error the study can tolerate
D) all are relationships

Question

Quizplus · Accepted Answer

Sampling error is the amount of variation or deviation in the sample statistic from the population parameter. It depends on factors such as population variability, sample size, and level of confidence. The size of the sample can affect the degree of sampling error. As the sample size increases, the sampling error tends to decrease. However, the relationship is not linear, and it depends on other factors. Therefore, the amount of error that the study can tolerate should be decided first, and then the sample size can be determined accordingly.

What Is the Relationship Between Sampling Error and Sample Size