Just a week ago, I completed a Data Analysis Toolbox for my stats project. I thought the toolbox was complete, but boy was I in for a surprise.

When my toolbox was returned, it looked as if I had typed the paper in red ink. I had sections missing, spelling errors, and a lot of questions marks. Luckily, I was not the only one in class to have an underachieving toolbox. My co-students also seemed to struggle with their first toolbox. If you are unaware of what a data analysis toolbox is, here is an example:

Our teacher made us redraft the toolbox, and add a lot more information. I also had to reorganize my entire toolbox to make it more user friendly. I explained myself in a lot more detail, and the new toolbox flows a lot better. A few things that I added were explanations of the data interpretations. I explained my use of bar graphs, box plots, 5-number summaries(
http://illuminations.nctm.org/Lessons/States/FiveNumSum.htm), mean, standard deviation, outliers, and power point. I also created and attached the questionnaire that I will be sending to the different car dealerships. A price range was also created for the questionnaire of cars ranging from $40,000 to $100,000. One very important section that was added was the details that I was going to have a total of three different reports. I will have to create three bar graphs, three box plots, and three numerical interpretations. This extra data will make my presentation a lot more interesting and a lot more useful. I am actually grateful that we had to recreate out toolbox due to the fact that it was very unprofessional. I now realize the importance of the toolbox and how it helps guide the project. The toolbox is similar to a business plan, which is the first thing you need before you to get work.