Data Analysis Toolbox
This week I completed the data analysis toolbox for my statistics project. My toolbox greatly helped me plan out my project. It also gave me a sense of a time line that I could go by to get my project done. The major aspects of my toolbox helped me outline and define the major aspects of my project. The four questions asked by the toolbox are: who are the individuals described by the data, what are the variables, in what variables is each variable recorded, why were the data gathered, and when, where, how and by whom were the data produced. These questions help to identify who the sample is, what you are trying to find out about the sample, the purpose of the project, and how you are to go about doing your project. For the survey I plan to record the people’s opinions by asking them to rate their views on different aspects of the stimulus package. Also, the toolbox helps you plan out what numerical summaries and graphs you will use, as well as how you will go about interpreting the data. I decided that I am going to use a five number summary, mean, and standard deviation to describe my data. The five number summary would help describe the spread of the data, and the mean and standard deviation would help describe where the data is centered. For the graphs I will use a bar graph and a normal probability plot. The bar graph will show frequency of the opinions, while the normal probability plot will help to show if the data is normal or not. To interpret the data I will simply analyze the numerical summaries and the graphs. In summation, the data analysis toolbox greatly helped me to organize and plan out my statistics project.