BME100 f2013:W1200 Group12 L1

BME 100 Fall 2013	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 TEAM Name:Brandon Bartels Role(s)Worked on Independent and dependent variables as well as Experimental design. Name:Kevin Lam Role(s)Worked on Error and Bias and Subject Selection Name: Robel Yoseph Role(s)Worked on Experimental design, Subject selection, and Source for error Name: Antonio Moran Role(s)Worked on T-tests and ANOVA Name: student Role(s) Name: student Role(s) LAB 1 WRITE-UP Independent and Dependent Variables (Identify the independent and dependent variable in the mini-problem.) Independent Variable- Dosage of lipopolysaccharide given. This is measured in milligrams. Dependent Variable- Total amount of inflammotin, a type of protein, found in the blood samples of the subjects participating in the experiment. Experimental Design Groups There will be a total of 21 groups. Groups 1-7 will be in the age range of 58-62 years old. Groups 8-14 will be in the age range of 68-72 years old. Groups 15-21 will be in the age range of 78-82 years old. There will be one control group for each age range described above. The control groups 7, 14, 21 will be given 0 mg. Groups 1,8,15 will be given 10 mg, groups 2,9,16 will be given 8 mg, groups 3,10,17 will be given 6 mg, groups 4,11,18 will be given 4 mg, groups 5,12,19 will be given 2 mg, and groups 6,13,20 will be given 1 mg. Number of subjects per group There will be a total of 8 people in each group. (Add details about your experimental design) There will be a total of 168 people being tested. In each group of eight people, four will be men and four will be women. Also, two of the four men and women in each group selected will represent a certain degree of physical fitness, and this will be tested through a series of tests such as cardiac fitness tests and the like, as well as having a long history of physical fitness proven through their medical history. The other two subjects will be selected based on the same tests but showing a lesser degree of phyiscal activity and an overall lesser quality of health as proven through their medical history. Subject Selection (Discuss considerations of how subjects are to be selected.) Subjects for the tests will be selected based upon their respective ages and also their genders.In order to find test subjects, we will visit places such as fitness centers and gyms, post recruitment ads in the local news papers, and also visit local senior centers to find potential trial candidates. Upon finding candidates for selection we will also proceed with a second screening to eliminate test subjects that will skew the tests so as to get the most accurate data. This second screening process will include a Cardiac stress test, a body mass index and composition measurement, and also muscular endurance tests such as the push up test and core strength and stability test. Sources of Error and Bias (What are some of the potential sources of error or biases that could affect your results and how would you control for them?) Previous medical history can skew the data, as well as reactions to the inflammatory medication due to genetics. Lastly, financial stresses can cause biases by trying to do tests with medication of lesser quality due to cheaper costs or trying to purchase a lower quantity of medication. T-tests and ANOVA When doing these tests it is possible that a lower dosage may be more effective in males than females. So we will run a t-test, or compare the effectiveness in both males and females and what the dosage of each is. Additionally, we must compare the effectiveness between age groups with an ANOVA test. A lower dosage might work for someone who is twenty and an athlete, but have lesser effects on someone who is sixty and has been less active. Comparing both tests, we should be able to find the lowest dosage for the intended recipients, the elderly. In addition, we might be able to use a lower dose for males than females or use a lower dose for females than males, which would save more money.