BME100 f2015:Group14 8amL2

BME 100 Fall 2015	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: Morgan Cobban Name: Cara Beauvais Name: Zachary Smith Name: Jon Talos Name: Ryan Bartholomew Name: Jared Johns LAB 2 WRITE-UP Descriptive Statistics Experiment 1 (Humans) 0mg Average: 3.834 pg/ml Standard Deviation: 1.52301018 pg/ml Count: 10 Standard error: 0.4816181 pg/ml 5mg Average: 8.932 pg/ml Standard Deviation: 1.59393155 pg/ml Count: 10 Standard error: 0.50404541 pg/ml 10mg Average: 61.622 pg/ml Standard Deviation: 30.1106939 pg/ml Count: 10 Standard error: 9.52183745 pg/ml 15mg Average: 657.941 pg/ml Standard Deviation: 212.942976 pg/ml Count: 10 Standard error: 67.3384817 pg/ml Experiment 2 (Rats) 0mg Average: 10.516 pg/ml Standard Deviation: 2.2255516117 pg/ml Count: 5 Standard error: 0.995296941 pg/ml 10mg Average: 11.112 pg/ml Standard Deviation: 7.402885924 pg/ml Count: 5 Standard error: 3.31067123 pg/ml Inferential Statistics Experiment 1 (Humans) Explanation: We chose to utilize an ANOVA for this data set, because there were more than two groups being tested. 0mg v. 5mg T-Test: 8.60E-7 Adjusted P-Value: 8.33E-3 Significant: Yes 5mg v. 10mg T-Test: 3.02E-5 Adjusted P-Value: 8.33E-3 Significant: Yes 10mg v. 15mg T-Test: 6.48E-8 Adjusted P-Value: 8.33E-3 Significant: Yes 0mg v. 10mg T-Test: 9.94E-6 Adjusted P-Value: 8.33E-3 Significant: Yes 0mg v. 15mg T-Test: 1.39E-8 Adjusted P-Value: 8.33E-3 Significant: Yes 5mg v. 15mg T-Test: 1.57E-8 Adjusted P-Value: 8.33E-3 Significant: Yes ‎Experiment 2 (Rats) Explanation: We chose to utilize the unpaired T-Test, because we where looking to determine whether there was a significant statistical difference between two completely separate data sets. P= 0.87 13% Confidence Summary/Discussion Human The human experiment showed that as dosage was increased the inflammotin increased as well. However, the variability also increased as dosage increased. All trials were declared statistically significant. Rats Our data for rats showed very poor yields. We received a 13% confidence from our T-test, which is very bad. When experimenting we aim for 95% therefore our data was not statistically significant. Some potentially sources of error include our smaller number of subjects and our drastic change in dosages without intermediate dosages. Overall, even though there was no clear response in rats most likely due to the smaller sample sizes and lack of intermediary dosses, the human tests displayed a significant increase in the amount of inflammotin produced.