Answer:
D) sampling bias
Step-by-step explanation:
Sampling bias means that for non-random reasons, the samples of a stochastic factor obtained to establish its distribution are wrongly chosen and therefore do not reflect the actual distribution.
So, the sample is obtained so that certain members of the expected population have a lower probability of sampling than others.