In a particular experiment to see if caffeine consumption has a statistically significant effect upon memory, a student found that the caffeine consumers scored a 97 while those who didn't consume caffeine scored an 89. The student also determined that t=2.39 and p=0.03. What can the student conclude?(A) There is not a statistically significant difference in scores between these two groups based solely on the high t-value(B) There is a statistically significant difference in scores between these two groups based solely on the low p-value (C) There is a statistically significant difference in scores between these two groups based solely on the large difference in means(D) Not enough information is given(E) There is a statistically significant difference in scores between these two groups based solely on the high p-value

Answer: the correct answer is (B) There is a statistically significant difference in scores between these two groups based solely on the low p-value Step-by-step explanation:The p-value is the level of marginal significance within a statistical hypothesis test representing the probability of the occurrence of a given event. The p-value is used as an alternative to rejection points to provide the smallest level of significance at which the null hypothesis would be rejected. In this case the  small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis. A large p-value (> 0.05) indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.