Respuesta :
Answer:
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.
Step-by-step explanation:
Conclusion’s about a population are more likely to be correct because there is less variability then there is in a random sample