This week’s topic of Inductive Arguments presents the notion that inductive reasoning generates broad arguments and conclusions from specific situations. Unlike Deductive reasoning, Inductive reasoning does not give us any certainty that a conclusion will be true. The three concepts of Inductive Arguments that I found most interesting and helped me to think more effectively are: the importance of statistical principles, Mills’ Analysis of Cause and Effect and the notion of multiple causes. The importance of statistical principles in Inductive reasoning is defined by our need to make predictions about the future and to create a sense of control over specific circumstances in our lives. With statistical generalizations it is possible to forecast the weather, create Q scores for the media, target consumers, and to predict the result of elections. That is, when an inductive argument is based on sufficient evidence and it takes in consideration the size of the population, it can avoid the bad results of a hasty generalization. This concept helped me to understanding how statistical generalizations help to understand and predict social behaviors. I apply this in my daily interactions in a practical way, that is to apply inductive reasoning in order to make the right decision when it comes to managing my time more efficiently, and specific business dealings. When I make decisions “by the numbers” rather than just gut instinct, I am able to be more confident in how my decisions will produce desired outcomes. Another important concept is Mill’s Analysis of Cause and Effect, Mill created methods to analyze a situation and discover a cause between its elements. There is the method of agreement in which one circumstance must be present in order to cause another. In the method of difference the opposite occurs and different results usually present different causes. Using these two similar, yet distinctly unique in purpose, allows a double-checking of how actions will enact desired changes. When used in conjunction together the effects include higher certainty and a doubly clear perspective on how cause and effect. Seeing the cause as a direct correlation with the effect allows for better simulations of the future, which