Evidence of Work:
Our question for this lab was to analyze the gait of people with various heights. We had to come with the variables that we would use in this lab. We decided to measure the overall height of each individual, the amount of steps taken, their height and weight, the length of their legs, and the length walked by the test subject. Each group collected their data using an app called Accelerometer. After each group collected their data, we all put our data into a classroom database and compared all of our data. Our groups data (Paige, Ciara, and myself) will be linked below. Our overall analysis of the class data will also be placed below.
Content:
I have taken the X values and heights of each person in the class, after you collect the x values from the unknown you could compare it to the data and see what column it matches up with the most and then there is a very good chance that the unknown will have the same height. I also comapred the tallest person’s gait and the shortest person’s gait in a seperate graph. You can see that the taller person has larger y values compared to the shorter person.
Reflection
I think overall, this project went fairly well. At first, this lab was a little difficult to understand. I didn't understand how to read the data, but after talking to my group members I started to understand. I really enjoyed working with my group, we all work very well together. During this lab, I learned how to use the accelerometer app and I also learned how to navigate Google Sheets and how to create comparative graphs. By learning how to use Google Sheets it helped me be successful in my AP Statistics class the following week. Next lab, I should start make my data collection notes neater so they are easier to read and I should also start my website analysis earlier so that I can keep my website as up to date as possible. The peek of my project was when I figured out how to add all of my data and the class data onto sheets. My pit was when I struggled to understand how to read the Accelerometer data.