Below are the objective of using probability proportional to
size sampling (PPS) to test account balances
- Chances of selecting a thing from a large group are less than
selecting a thing from a smaller group. for example, one sample had
20,000 things, the probability of a thing being selected would be
1/20000 or .005 percent. If another sample had 10,000 thing, the
chance of a thing being selected would be 1/10000 or .01
percent
- It has a known non-zero probability of being selected.
- It takes varying sample sizes into account
- This helps to avoid underrepresenting one subgroup in a
study
- It yields more accurate result.