In this country, we have a well-known legal principle: "innocent until proven guilty". Once you have gained knowledge of hypothesis testing and the types of errors, please, respond to the following questions (the 2nd/3rd are completely open ended). How does this relate to hypothesis testing? (Note which definitions matter here). What is desirable/undesirable about the "innocent until proven guilty" approach to statistics? Another famous saying includes statistics as a type of lie. From the perspective of statistics, what kind of lies could a person tell,. and what makes these lies worthy of being the worst type of lie? How does that relate to the ideas in this chapter, especially the requirements] assumptions in performing hypothesis tests