Sampling error can be reduced by
A) increasing the sample size.
B) performing statistical tests on experimental data.
C) performing double-blind experiments.
D) closely monitoring changes in the experimental and control groups.

Question

Quizplus · Accepted Answer

Sampling error refers to the difference between the sample and the population it represents. It can be reduced by increasing the sample size, as a larger sample size increases the representativeness of the sample and reduces the impact of sampling error. Performing statistical tests, double-blind experiments, and closely monitoring changes in the experimental and control groups do not directly impact sampling error.

Sampling Error Can Be Reduced by