BME100 f2017:Group5 W1030 L3

BME 100 Fall 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: Katerina Liong Name: Sarah Nystrom Name: Thomas On Name: Ameil Jones Name: Aditya Mishra LAB 3 WRITE-UP Descriptive Stats and Graph Heart Rate Bar 10:30 Group 5 P-value (2 tail, paired): 0.427116193 Gold Standard: - Average: 98.08976898 - Standard Deviation: 23.03054395 Spree: - Average: 98.95379538 - Standard Deviation: 24.87753802 http://www.openwetware.org/images/c/c3/WEEEEEEE.png http://www.openwetware.org/images/b/b8/Ok1.png http://www.openwetware.org/images/5/50/HELLO.png P-value (2 tail, paired): 1.09676E-21 Gold standard: - Average: 96.64716049 - Standard Deviation: 1.922602071 Spree - Average: 95.5308642 -Standard Deviation: 0.870378299 Inferential Stats Design Flaws and Recommendations The design flaws of this Experimental Design of Own Device

For our experiment, the UV senor we will create will have to be compared to another UV sensor that has been proven to be accurate. We would have multiple trials testing the tattoo in different age groups, times of day, amount of exposure, and different climates. These would be the independent variables, with the color change of the tattoo being the dependent variable, as this indicates the amount of UV exposure. This data would be compared with the other product's data to determine if it is statistically significant.