|Instructor Info:||Michael Sutherland|
|TA Info:||Justin Baldwin|
How do we know what we know? And, how sure can we be about it? These are the challenges of inference. Statistical thinking worries about both these questions. Statistical methods allow us to assess risk and measure uncertainty. Over the last 50 years statistical practice, like so much of our world, has dramatically changed and yet, fundamentally, the same challenges remain. "Everything has changed" focuses on statistical methodologies, their implementation, their computation, their scale, their applicability and their "productization." "Everything is fundamentally the same" reminds us that life is still uncertain. Chance, expressed as variability, remains the dominant determinant of most life events. In this course you will think about these ideas, learn to compute about them using the R language, and learn to wrestle with real data - some of it from your projects, some about the effects of Hampshire College and some from my data archives.
Monday w. Justin: 4:30 - 6:30
Tuesday w. Alex: 4:30 - 6:30
Thursday w. Justin & Alex: 4:30 - 6:30
We'll settle in ASH where we can find seating / minimal disturbance. Call us if you can't find us.
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