Question

why are conclusions about a population more likely to be correct when they are based on random samples that are not random.

Answer 1

1) Sampling error leads to mostly variability, nonsampling errors lead to bias. 2) Because of nonsampling error, a sample is often more accurate than a CENSUS.

Explanation:

Answer 2

Conclusion’s about a population are more likely to be correct because there is less variability then there is in a random sample