<prompt> Please answer with one of the option in the bracket. Write reasoning in between . Write answer in between .Q:A clinical trial is conducted to determine the role of cerebrospinal fluid CSF beta-amyloid levels as a biomarker in the early detection and prognosis of Alzheimer disease. A total of 100 participants are enrolled and separated into three groups according to their Mini-Mental State Examination MMSE score: mild dementia 2024 points, moderate dementia 1320 points, and severe dementia 13 points. Participants CSF level of beta-amyloid 42 is measured using an immunoassay. It is found that participants with severe dementia have a statistically significantly lower mean CSF level of beta-amyloid 42 compared to the other two groups. Which of the following statistical tests was most likely used to compare measurements between the study groups?? A: Chi-square test, B: Fishers exact test, C: Two-sample t-test, D: Pearson correlation analysis, E: Analysis of variance,  <response>: This is a question asking about which statistical test would be appropriate for comparing the mean CSF beta-amyloid 42 levels between three groups categorized by dementia severity based on MMSE score. Since there are three groups being compared and the goal is to see if there are differences in the mean of a continuous variable CSF beta-amyloid 42 level between the groups, analysis of variance ANOVA would be the most appropriate statistical test. The chi-square test compares categorical variables, Fishers exact test compares proportions between groups, two-sample t-test compares means between only two groups, and Pearson correlation looks at the correlation between two continuous variables. E: Analysis of variance 