Which of the following is an example of statistical interference? A. having a sample size that is too large
B. calculation errors
C. selecting one demographic for surveying
D. selecting a representation of a population and translating it to a larger group

D). Selecting a representation of a population and translating it to a larger group.

Explanation:

Statistical inference is described as the method of employing data analysis to draw conclusions about the characteristics/properties of a population on the basis of a casual sample collected from the population. Such a method is primarily employed to learn the characteristics of a large population size.

As per the question, 'selecting a representation of a population and translating it to a larger group' would exemplify statistical inference as a sample is collected as a representation of the population for learning the characteristics and applying it to the entire group. Thus, option D is the correct answer.

"1. it should be, it has been for about 20 years, and it's really not much different in the end than breeding animals to have particular traits. there are always concerns about genetically engineered animals/plants affecting the environment in unexpected negative ways, but i can't think of an example where the fears didn't turn out to be baseless.  

first, as you point out, it would be a great advance in pharmacology, to be able to tailor drugs and their doses to me. the pros involve better medical treatment. the cons involve privacy issues like insurance companies denying coverage to people with genetic risk factors. looking at dna markers wouldn't affect the frequency of genetic diseases, but it would allow detection of them earlier. and ok, actually i suppose that if people used this information to avoid having children with genetic diseases, some might decrease in frequency."