Curcumin Rich Diet Lowers The Incidence Of Breast Cancer Essay

Curcumin Rich Diet Lowers The Incidence Of dumbbell Cancer - Essay ExampleCurcumin, (diferuloylmethane), the yellow pigment extracted from the rhizoma of Curcuma longa, has been expected to posses therapeutic or hang-up value for several crabby persons because of its antioxidative, anti-inflammatory, and antimalignant neoplastic diseaseous effects (Maheshwari et al., 2006) Cancer incidence rate comparing the breast and prostate pubic louse incidence in US and India is presented in the Table 1. Date from GLOBOCAN 2000 is a unique software schedule which provides access to information on the incidence and prevalence of, and mortality from 26 major cancers for all the countries in the world in 2000. Thus, the cancer incidence, in people from US, is for people who dont consume curcumin, whereas the cancer incidence, in people from India, is for people who consume curcumin.... 2. P ( have curcumin and dont detect breast cancer) = P ( take in curcumin) P (dont come breast cancer)= 1 000000/2000000 999921/2000000 = 0.5 0.4999605 = 0.24998025.The number of people who eat curcumin and dont get breast cancer is P (dont eat curcumin and dont get breast cancer) total number of people = 0.24998025 2000000 = 499960.53. P (dont eat curcumin and get breast cancer) = P (dont eat curcumin) P (get breast cancer)= 1000000/2000000 660/2000000 = 0.5 0.00033= 0.000165.The number of people who dont eat curcumin and get breast cancer is P (dont eat curcumin and get breast cancer) total number of people = 0.000165 2000000 = 3304. P (dont eat curcumin and dont get breast cancer) = P (dont eat curcumin) P (dont get breast cancer)= 1000000/2000000 999340/2000000 = 0.5 0.49967= 0.249835.The number of people who eat curcumin and dont get breast cancer is P(dont eat curcumin and dont get breast cancer) total number of people = 0.249835 2000000 = 499670We invest the values obtained in this table (this is our null distribution)Breast cancerNo Breast cancer fitCurcuminYes (India)39.549996 0.5500000No (USA)330499670500000Total369.5999630.51000000Using the formula, where Oi is observed numbers or frequency andEi is what we expect if on that point is no dependence between the 2 variables.we get,2 = (79-39.5)2/39.5 + (999921-499960.5)2 / 499960.5 + (660-330)2 / 330 + (999340-499670)2 / 499670 = 1000000The larger the value of 2 , the worsened the fitTo see whether this number is significant we calculate the p-value. p-value = P(2 a specific value model is correct)In this case, the specific value