Comments (4)
Yeah, I'm still not sure how we'll up integrating the approximation methods. Initially we did have the arrow go to calculate()
but then we decided that this pipeline would not compute the observed statistic - that will come in a separate pipeline using the dplyr that students will be familiar. The two will be combined in visualize()
to show the observed in the context of the sampling distribution.
At least that's the plan that we're building towards. We went back and forth on where the obs stat should be calculated and figured we'd give this formulation a try first.
Hrmmm, yes, this diagram is already a bit out of date. Under the current formulation, specify()
and hypothesize()
are two separate functions.
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Probably "Calculate Statistic" should be "Calculate Sampling Distribution Under the Null" and be outside the blue box. That can be done either by computing a statistic from each of your generated data sets (inside the blue box) or by other means ("approximation").
The current chart conflates one method of getting there with the destination.
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I like the building blocks of "specify()", "hypothesize()", "calculate()", and "visualize()" and look forward to seeing how this comes together.
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Related Issues (20)
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