## Draft #3, week 7, statistics

I took an introductory to statistics course in Spring of 2015. I was a freshman at the time therefore I don't remember quite a lot except for the big group project we had to do. Basic statistical concepts that I do remember learning were mean, median and mode. I also learned a lot of survey-taking and then incorporating that raw data into some type of graph. I remember learning about skews and bias that might not be noticed at first glance of the graph. Since this was a team-based learning course, towards the end of the semester the big group project we had to do wrapped up all the concepts we learned in class. There was a scientific work with a large collection of data from which we selected two-three variables (such as smoking, stroke, and exercise). Then, formed a hypothesis, and used all the equations we learned in class to "test" or "prove" our hypothesis without actually doing any type of experiment. We displayed the data in circle graphs, bar graphs and other forms of tables. It was a great learning experience overall considering how bad I was at AP statistics in high school. This type of knowledge became very useful in my science classes because it is easy to spot some bias and skewing of data in some research. For instance, the values on the x-axis may go from 0.1-0.2-0.3, etc and the line on the graph may appear to be at a very steep slope but the x-values are so small that there appears to be no correlation at all.

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