This showcases how odds are used in a real world application.
This last week we have immersed ourselves into the different types of graphs that we are likely to encounter. Pictographs, Bar Graphs, and Circle/ Pie Charts were introduced together as an effective means of displaying different types of categorical data. Separately we encountered a real graph while doing an M&M activity. It was considered to be a real graph because we were categorizing the color of our M&M based on the real sample size we had available in front of us, modeling it with the actual item we were measuring. Numerical data is better served by the following graphs: dot plot, histogram, and stem and leaf. Highlighting between discrete(each data entry unique) and continuous (data isn't nessecarily separate) data should also be emphasized. My criticism of the stem and leaf graph is that it really has no transferrable use outside the use of educational environments. In the M&M activity I also appreciated how the manufacturing statistics out of the factory in Hack
Comments
Post a Comment