Intro Stats in the 21 st Century Dick De Veaux Williams College USCOTS 15 May 28, 2015.

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Presentation transcript:

Intro Stats in the 21 st Century Dick De Veaux Williams College USCOTS 15 May 28, 2015

Data Scientists teaching our course Students think that Statistics is irrelevant for their lives and work Students think that Statistics is essentially univariate We continue to change the course around the edges  With Resampling the exception 5/28/15 USCOTS 15 WHAT KEEPS ME UP AT NIGHT

THE PROBLEM We teach the wrong stuff We teach it the wrong way We teach it in the wrong order I don’t have any answers – but I’ll keep asking the questions 5/28/15

WHAT DO I WANT THEM TO TAKE AWAY? The Idea that Statistics is  Relevant  Intutive  Cool  A Powerful Method for Solving Problems in the World Armed with a Healthy (and Informed) Skepticism for  Data Quality  Models  Inference and Conclusions 5/28/15

HOW TO GET TO THE COOL STUFF? Start with it Introduce models early  Motivate univariate questions from more complex models  Socratic method What to leave out  Mathematics of Sampling distributions We just need the concept  Getting too under the hood with methods  They don’t need to “produce” everything – especially in the first course 5/28/15

DIAMONDS Four C’s:  Carat, Color, Cut, Clarity 5/28/15

COLOR

PRICE BY COLOR

HERE’S WHY

HOW MUCH IS A FIREPLACE WORTH? The Data  1729 randomly selected homes from the county records of Saratoga New York about  Conclusions are only about the Northeast…

Starting Univariate

PRICE BY FIREPLACE? No740$174,653 Yes988$239,914 Difference $65,620

WAIT A MINUTE

Relationship with size

WHAT IF WE FIT TWO LINES? Difference now is $5567

WHAT IF WE LET THEM GO?

THE TITANIC Survivors Non-Survivors

WHY NOT? You’ve cracked the resampling egg, why not enjoy the omelette?

WHERE ARE WE? Introduce models early  Motivate univariate questions from more complex models  Not the other way around! Use complex questions and models to drive topics Statistics is more than a collection of tools  Which ones are really important? How much should we ask them to “produce”?