ABSTRACT
Larger samples are of benefit in research because they increase precision. It can be tricky to identify biases based on differences between those who respond and those who do not, but researchers may compare the sample with the known parameters of the population to establish the degree to which the sample is representative of the population. The student can continue to increase the lunch-time sample size, but the increase has no benefit to correcting the bias. The sample could easily be biased against those who are on campus in the evenings, and those are the students most likely to use the cafeteria in evening hours. However, because of the bias in the method of sampling, it would be more accurate to say that the results are precisely wrong to the extent that the bias has consistently thrown the results off in the same direction each time a sample was drawn.
