# Statistic in Everyday life

Decisions we make in everyday life are all based on probabilitybut often in an intuitive way. For example, if a family member gets a positive screening for cancer or another disease, this is a probabilistic determination based on the measurement made. Similarly, when police arrest individuals or juries convict them, they do so based on probabilistic determinations (e.g., how likely is it that this evidence would exist if the person were innocent?). Even mundane decisions like when to leave for work to arrive on time are based on probabilistic determinations. You cannot know that leaving at a certain time will mean arriving on time because there are a variety of variables you may fail to consider. However, you can make reasonable inferences based on probability, given the variables about which you are aware (e.g., traffic patterns, risk of accidents, existing construction, etc.). Clearly, statistical decision making inundates our lives whether we are aware of it or not.

First you will watch a TED Talk that discusses real-world contexts in which statistical decision making is crucial and consequential: How Juries Are Fooled by Statistics. (Note: Pay special attention to the video from 10:47 to end.) As you answer the discussion questions, think about the statistical concepts you learned in this module regarding statistical decision making, such as true and false positives and negatives. You will write about the ways that statistical decision making is involved in many areas of our daily life and demonstrate your understanding of these key concepts related to inferential statistical decision making.