https://www.ted.com/talks/peter_donnelly_how_juries_are_fooled_by_statistics?utm_campaign=tedspread&utm_medium=referral&utm_source=tedcomshare

• How do the examples given in the video (jury decisions and medical tests) connect to what you learned about statistical decision making related to Type I errors (false positives) and Type II errors (false negatives)? Select either Type I errors or Type II errors, and explain your response.
• Which programmatic theme(s) tie in with the examples?
• In general, do you think that making Type I or Type II errors is worse?
• Do you think the context in which the statistical decision is being made affects which of the errors is worse?
  • For example, if you think about scientific research into curing cancer, or jury decisions about criminal convictions, or scheduling decisions to get to work on time, do you feel that the negative effects of Type I and Type II errors are similar or different across these contexts?
• Given your earlier discussion about the importance of statistical thinking for effective citizenship and what you have learned in the course in general and this module specifically, do you still hold the same view about the importance of statistical thinking for the general population? Why or why not?