Dr. Johnson conducted an independent-samples t test to explore the effect of gender on treatment outcomes. On examination for assumptions, Dr. Johnson, who had a sample size of 88 participants, found that the scores for men and women were positively skewed. Thus, the data did not meet the assumption of normality. Can Dr. Johnson continue interpreting the results of her independent-samples t test even though the assumption was violated? Why or why not? How should Dr. Johnson proceed?