My Vision for Stat 101 Professor Jessica Utts Department of Statistics University of California, Irvine.

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Presentation transcript:

My Vision for Stat 101 Professor Jessica Utts Department of Statistics University of California, Irvine

With Dick – we want them to think statistics is: Relevant Cool Powerful for solving problems Intuitive?? Good luck; see Kahneman’s best-selling book, Thinking, Fast and Slow With George: Importance of context Centrality of teaching the scientific (or other) process Where I agree

The intro course should connect to… Daily Life!

Context for my “ideal” course: 3 possible futures for students Consumers (everyone!) Professional users such as: Physicians, who must communicate risk and other health information to patients Financial planners, who need to understand variability (in markets and income/expenses) Business/industry people, who need to understand statistical results presented to them Politicians (if only they cared…) Producers – research scientists and others

My Ideal, and Why The intro course should be taught for the consumers, and cover (almost) no methodology Why? Most people will take only one statistics course They need to understand, not do! Everyone is a consumer Professional users should get more training in interpretation for their specific discipline Producers should take lots more courses No one should “do” statistics after a single course

Example 1: Types of Errors Thinking about type 1 and 2 errors is useful for decision- making, even without quantitative data Example: Came home to find my dog-sitter in a panic because a chocolate bar had disappeared. Did the dog eat it? What to do?

Truth and Decisions Truth Evidence not convincing Evidence convincing Did not eat chocolate Don’t go to vet, no problem Go to vet, pay big bill, stress out the dog needlessly Did eat chocolate Probably have a dead dog Poor Zoe gets her stomach pumped but lives, I get a vet bill TYPE 1 ERROR TYPE 2 ERROR

Example 2: Average is not enough! Fly into Chicago Terminal 2, Concourse E Need to get to Concourse C, flight leaves in 35 minutes There is a shuttle! But sign says “Average wait time is 15 minutes.” What’s missing with this information?? How about maximum wait time?

And finally… a challenge No matter what else you teach them, make sure everyone leaves your intro course understanding at least 3 scenarios from daily life for which they can use statistical ideas, and ideally lots more!