BME100 f2013:W1200 Group12 L1
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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.
Number of subjects per 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.
(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?)
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.