When every possible sample of size n has the same chance of being selected, this is called:
A)simple random sampling.
B)stratified random sampling.
C)cluster sampling.
D)sampling error.

Question

Quizplus · Accepted Answer

Simple random sampling ensures that every possible sample of size n has an equal chance of being selected, making it a fair and unbiased representation of the population being studied. Stratified random sampling involves dividing the population into groups and then randomly selecting samples from each group, while cluster sampling involves randomly selecting groups or clusters and then sampling individuals within those groups. Sampling error refers to the natural variation that occurs when samples are taken from a larger population.

When Every Possible Sample of Size N Has the Same