Required Resources Required Text 1. Read from the course text, Statistics for the Behavioral & Social Sciences: a. Chapter 2: Illustrating Data b. Chapter 3: The Standard Normal Distribution and z-Scores Recommended Resources Articles 1. Espinel, M. C., Bruno, A., & Plasencia, I. (2008). Statistical graphs in the training of teachers. Proceedings of the Joint ICMI.IASE Study. Retrieved from http://www.ugr.es/~icmi/iase_study/Files/Topic2/T2P11_Espinel.pdf 2. Manikandan, S. (2011). Frequency distribution. Journal of Pharmacology & Experimental Therapeutics, 2(1) 54-56. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117575 Website 1. Microsoft Office. (2012). Charts. Retrieved from http://office.microsoft.com/en-us/excel-help/CH001000373.aspx Discussions 1: Graphs. Give one example of health-related data (a variable) that can be represented by a pie chart. Do the same for a bar chart and a histogram. Explain why each data example you selected (there will be a total of three different variables) is well represented by the corresponding graph. Discussion 2: Standard Normal Distribution. Review Chapter 3 of your course text, which introduces probability and the standard normal distribution. When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution? What role do z-scores play in this transformation of data from multiple distributions to the standard normal distribution? What is the relationship between z-scores and percentages? In your opinion, does one do a better job of representing the proportion of the area under the standard curve? Give an example that illustrates your answer.