Answer:
Sampling error
Step-by-step explanation:
This is probably due to sampling error. The sampling error has the likelihood of occuring when the statistician fails to select a sample that could be a representation of the full population. The sample results are not a true representation of the true results from the entire population.
the null hypothesis tells us that no significant difference exists between the populations chosen, and any difference can be as a result of sampling error.