<prompt> Please answer with one of the option in the bracket. Write reasoning in between . Write answer in between .Q:You are tasked with analyzing the negative predictive value of an experimental serum marker for ovarian cancer. You choose to enroll 2,000 patients across multiple clinical sites, including both 1,000 patients with ovarian cancer and 1,000 age-matched controls. From the disease and control subgroups, 700 and 100 are found positive for this novel serum marker, respectively. Which of the following represents the NPV for this test?? A: 900 900 100, B: 700 300 900, C: 900 900 300, D: 700 700 100, E: 700 700 300,  <response>: This is a question about calculating the negative predictive value NPV of a diagnostic test. The NPV is defined as the proportion of patients with a negative test result who do not have the disease. To calculate it, we need to know:- The number of true negatives TN: patients without disease who test negative- The number of false negatives FN: patients with disease who test negative From the question, we know:- There were 1000 patients with ovarian cancer disease positive- Of those, 700 tested positive and 300 tested negative FN- There were 1000 patients without ovarian cancer disease negative - Of those, 100 tested positive and 900 tested negative TNSo the NPV is calculated as:NPV TN TN FN 900 900 300C: 900 900 300 