An experiment is conducted which randomly places students into one of three treatment groups: (1) those students who will take a test that is printed on white paper, (2) those students who will take the same test, but printed on red paper, and (3) those who will take the same test printed on blue paper. The researcher analyzes the data using ANOVA in order to compare the average scores in the three groups looking for evidence that the average score is different on at least one of the three tests. Assume that at least one group really is different when answering the following question. As the size of the sample in each group increases, all else remaining the same, what will be the impact on the strength of evidence for finding a difference in the average scores on the three exams? There will be more evidence of a difference. There will be no impact on the strength of evidence of a difference. There is not enough information to tell. There will be less evidence of a difference