Hello and welcome back to another blog post. This blog post was about the correlations and causations from data that we collect. I was in a group with Teva and i’ll put a link to her blog on this project at the bottom of this post.
So for this project we had to gather our own data by making a surveying for people fill out and then we can use that to find causations and correlations in. Our survey questions was based off of things that might effect or improve your sleep. We came up with a lot of questions, and made sure that some of the questions might have causations or correlations between them.
Our audience for our survey was all PLP students. Only 20 people answered our survey questions, so the data that we put in the charts to find correlations and causations is very weak. I think if more people would have answered we might have gotten a better response and been able to find a stronger causation or correlations.
As I said only 20 people responded but we did get answers from about every grade. Even though they were weak, we did find some weak correlations and causations. One correlation that we found was that how many pillows you have on your bed effects how many nights you get a poor sleep. We thought that the more pillows you had the less poor sleeps you get in a week, but we found out that was not the case.
From the answers we got, we only had one causation, which was between the questions ‘How would you rate your quality of sleep per week’ and ‘how would you rate the leval of sleepiness during the day’. This clearly has a causation because the worst sleep you get more you would feel tired during the day because of that. It was really fun making the survey and it was interesting to see the answers we got for our questions even if they weren’t what we were expecting.
See you next time.
Check out Tevas blog post!