BME100 f2014:Group20 L6

BME 100 Fall 2014	Home People Lab Write-Up 1 | Lab Write-Up 2 | Lab Write-Up 3 Lab Write-Up 4 | Lab Write-Up 5 | Lab Write-Up 6 Course Logistics For Instructors Photos Wiki Editing Help
OUR COMPANY File:Bjornhouman.jpg Bjorn Houman Ryan Giudice Name: student Name: student Name: student Connor Seiferth LAB 6 WRITE-UP Bayesian Statistics Overview of the Original Diagnosis System When testing patients for the disease-associated SNP, BME 100 split the labor up throughout the groups. With 34 teams of 6 students, 68 patients were able to be tested. This is a good division of labor in that while each group only needed to test two patients, the entire group was able to test 68. This helps on the larger scale. Many things were done to help prevent error. By receiving three replicate DNA samples from the two patients, it ensured multiple trials and a higher chance of success. After all the tests were conducted, the results yielded a total positive result of 30, and a total negative result of 24. Of these, eight were inconclusive, and for six of them there was no test. What Bayes Statistics Imply about This Diagnostic Approach Bayes Values for Calculations 1 and 2 The Bayes value for both one and two seem to be reliable in concluding that there is a good chance it is accurate in determining that a person has the disease SNP, because of the values being closer to 1.00. Bayes Values for Calculations 1 and 2 Based on the Bayes value for calculations 3 and 4, it would seem that these values are not as accurate in determining if the person has the disease SNP, because of the values being further from 1.00. Computer-Aided Design TinkerCAD Our Design Feature 2: Consumables Kit Feature 3: Hardware - PCR Machine & Fluorimeter