Category Archives: Randomization

Capture/Recapture Part One

If you’ve been awake and paying attention to stats education, you must have come across capture/recapture and associated classroom activities. The idea is that you catch 20 fish in a lake and tag them. The next day, you catch 25 … Continue reading

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How Good is the Bootstrap?

There has been a lot of happy chatter recently about doing statistical tests using randomization, both in the APStat listserve and at the recent ICOTS9 conference. But testing is not everything inferential; estimation is the other side of that coin. In … Continue reading

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Stability: A Central Idea for the New Stats

If we replace the old Normal-distribution-based paradigm with a new one featuring randomization, we happily shed some peculiar ideas. For example, students will never have  to remember rules of thumb about how to assess Normality or the applicability of Normal … Continue reading

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Nuts and Bolts: Estimates from a Randomization Perspective

Suppose we believe George Cobb (as I do) that it’s better to approach stats education from a randomization perspective. What are some of the details—you know, the places where the devil resides? Let’s set aside my churning doubts after this … Continue reading

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How much understanding do we want, anyway?

So. Long time no post, too many words to write elsewhere, mea culpa, mea culpa. But let me get to it: Since forever (well, last year) I have been trying to run a (regular) statistics course using a randomization approach à … Continue reading

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Fantasy and Reality in Inference

In which he describes his approach to inference. The null hypothesis is never true. I guess I knew this at some level, but I never really got it till this Spring. Then it hit me that this was worth telling … Continue reading

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What Went Right

Yikes. Another couple months. And a lot has happened: I experienced senioritis firsthand, our house has been rendered uninhabitable by a kitchen remodel (so we’re living out of suitcases in friends’ spare rooms), and my first year of actually teaching … Continue reading

Posted in class reflection, philosophy, Randomization, Standards-Based Grading (SBG), technology | 9 Comments

Never mind winning the race. Are we on the right track?

It’s another crisis of confidence in stat-teacher land. It’s actually not as bad right now as it was over the last week, all thanks for the improvement be to wonderful students. But still. I feel like Ralph Rackstraw in HMS … Continue reading

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Another vid: Fathom simulations with sampling

The classic randomization procedure in Fathom has three collections: a “source” collection, from which you sample to make a “sample” collection, in which you define a statistic (a measure in Fathom-ese), which you create repeatedly, creating a “measures” collection, which … Continue reading

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Making Simulations in Fathom: another scaffold, technical challenges

I’ve posted recently about “flipping the classroom,” the idea of putting the exposition—the lecturing—in little digestible vodcasts to be watched at home, (ideally) leaving more time for discussion, one-on-one work, etc., and (ideally) preventing me from nattering on and boring … Continue reading

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