In this term in math, we kicked off with statistics. We covered some areas of Statistic such as, Analyzing categorical data, Summarizing quantitative data, Modeling data distributions and Exploring bivariate numerical data. One of the topics that was quite challenging to grasp was Exploring bivariate numerical data, specifically correlation and causation. To help us with this topic, we send out a survey with numerous quantitative categories — such as height, weight, number of pens, etc — to Liger students. Then, we used the data we collected from the survey as examples for us to study correlation by graphing scatter plots.
An example of a scatterplot between two variables.
