Go to the links below and read the articles. Discuss what you have read with particular emphasis on the statistics mentioned and how they were used. Compare and contrast how the authors of the articles drew their conclusions. Discuss what you think is the significance in decision making of the possibility of Type I and Type II errors referred to in the second article. You should respond to each others posts with appropriate concurring and critical comments as warranted. Finally, name one potential application where you would like to see hypothesis testing used and explain how its use in your application might be similar or different than the applications in the articles below. Your explanation should include potential type I and type II errors and their potential costs. (Type I and Type II errors are accepting the null hypothesis when it is in fact wrong and rejecting the null hypothesis when it is in fact correct, respectively.) http://www.usnews.com/science/articles/2009/07/14/statistical-tests-suggestive-of-fraud-in-irans-election http://www.sciencedaily.com/releases/2007/03/070319110332.htm