You will find this statement to be true, "You can make stats say anything you want it to say." In fact, dubious individuals can trick the casual observer into believing something other than what the data actually depicts. We see this occur in politics, in business, in academia, and in many other arenas in life. Find an article that discusses or provides an example of one of the types of misuse that can occur in data analysis and/or statistical analysis. Types of misuse include, but are not limited to, discarding unfavorable observations, ignoring assumptions of given modeling techniques, ignoring important features of a multivariate data set, using loaded questions, promoting over-generalizations, using biased samples, manipulating data, and misreporting/misunderstanding estimated error. Create a discussion post in which you cite the article you have read, and discuss the misuse addressed in the article. Also, discuss the negative consequences of engaging in activities that promote the misuse of data