BME100 s2017:Group8 W8AM L3

BME 100 Spring 2017	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: Meghan Rasmussen Name: Ezekiel Mendoza Name: Nick Chung Name: Salma Leyasi Name: Michelle Loui Name: Nicholas Sora LAB 3 WRITE-UP Descriptive Stats and Graph Heart Rate Statistics and Graph Figure 1 Figure 2 Temperature Statistics and Graph Figure 3 Figure 4 Inferential Stats When performing statistical tests in scientific experiments, there are two main tests that researchers primarily use--the t-test and the analysis of variance test. The t-test is used when testing two specific and distinct groups. T-tests compute a critical T-value. Based on the degrees of freedom used in the experiment, the experimental critical T-value can be compared to the corresponding T-value on a chart. If the experimental T-value is greater than the table value, then there is significant statistical difference between the two groups being tested. The one-way ANOVA statistical test is used when three or more groups are being tested in an experiment. Unlike the T-test, the ANOVA test cannot determine which groups are statistically significantly different from one another. It can only report that at least two groups are statistically significantly different from the others [3]. To test if there is any significant difference between the Spree headband and the pulse oximeter/oral thermometer, a T-test would be the most effective statistical test to run, considering this experiment only tests two groups against one another. Summary of Results For both of the t-tests performed between the Spree headband and the pulse oximeter/oral thermometer, the degrees of freedom between the two was around 300. The critical T-value corresponding to 300 degrees of freedom and a p-value of 0.05 (5%) comes to 1.96 [2]. If the critical T-value calculated from the experimental data is less than the table's value, then one can conclude that there is no significant difference between the two test groups. If the critical T-value calculated is greater than the table's value, then one can conclude that there is significant statistical difference between the two test groups. Since the experimental two-tailed T-value between the Spree headband and the pulse oximeter was 1.97, we can conclude that there are significant differences between the two when it comes to measuring pulse rate. We can also conclude that there are significant differences between the Spree headband and the oral thermometer when it comes to measuring body temperature since the experimental two-tailed T-value was also 1.97. While the margin of statistical difference between the two isn't large, it is still significant. From these statistical tests, we can determine that the Spree headband is not as accurate at monitoring body temperature and pulse rate as the "gold standard" oral thermometer and pulse oximeter. Experimental Design of Own Device Our experiment will have three groups: one control group who uses traditional metal screws and anchors, one control group who uses current bioabsorbable screws and anchors, and another group who uses our bioabsorbable screws and anchors. This allows us to test our screws against traditional metal screws and bioabsorbable screws on the market in the same experiment. Each group will have 50 subjects and the demographics in each group will reflect the total population receiving ACL reconstruction surgery in the United States: 64% being between 15 and 35, 23.4% being between 35 and 55, and 12.6% being over 55 [1]. Our experiment will be a double blind experiment. Neither the experimenters or the subjects will know what anchors have been used in their reconstruction surgery. This will limit the placebo effect and experimenter bias as much as possible. We will have each patient follow the same ACL physical therapy regimen over the same recovery period and keep track of how their knee feels throughout the recovery process. Follow-ups will take place every month to observe bone growth on the bioabsorbable anchors and to see how the reconstructive surgery is holding up. Records of the patient’s discomfort level will also take place at the follow-up appointments. Once the patients are cleared medically to return to their normal activity level, we will follow up every two months for 18 months to see how the anchors are working in their everyday life. The records of bone growth and patient discomfort levels for our bioabsorbable screws will be compared to the bone growth for the current bioabsorbable screws on the market and the patient discomfort level for both traditional metal screws and current bioabsorbable screws to see how our device compares. Sources [1] http://journals.sagepub.com/doi/figure/10.1177/2325967114563664 [2] http://www.biologyforlife.com/t-test.html [3] https://statistics.laerd.com/statistical-guides/one-way-anova-statistical-guide.php