Answer:
Sampling error
Step-by-step explanation:
The answer is sampling error.
The sampling error occurs when the sample does not represent the full population and the result from the sample is not a representation of the results from full sample.
From information given
Population mean = 87.85
Population standard deviation = 118.1
n = 25
Sample mean = 79.07
Sample standard deviation = 129.91
118.2/√25
= 23.62
The standard deviation of the distribution is what is referred to as standard error of m = 23.62