Convert Quadratic Unit to Aaron Judge Dataset #2355
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…h their non-num equivalents in langTable and auto-translation
… and a rewrite of the What Kind of Model? page
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Overall this rewrite is REALLY strong. I made a few edits to wording here and there, and renamed the starter file to something more usable.
The one major change I made was a rewrite of the "What Kind of Model?" page in quadratic4. The page feels busy to me, but I think it's a REALLY worthwhile page.
Left a few small requests for changes, but this is largely ready to merge! Let me know if you have questions.
| @fitbruby{15em}{hit speed}{response variable}. | ||
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| - Does there appear to be a relationship between `pitch-speed` and `hit-speed`? If so, describe it. @fitb{}{@ifsoln{No.}} |
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You have some extra vertical space on the page. Suggestion: for each of these, ask students to rank their confidence in their 95mph predictions from 1-10.
This builds an intuitive understanding of correlation strength, as opposed to correlation existence. Some kids (and teachers!) will say that a correlation is "strong" if there is obviously some kind of correlation, as opposed to how tightly the data are packed. Asking this extra question about confidence-in-prediction helps tease these two apart.
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| @n In the space below - or on another sheet of paper - solve this series of equations for A, B, and C. + | ||
| _As we solve the series, we'll likely get some very long decimal values. You can round these values to the ten thousandths place as we work._ |
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I would even go so far as to drop this to the thousandths place (or even hundredths?)
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This page should benefit from the improved directions you made in build-from-samples-batting-data.adoc
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I really like the improvements you've to this lesson! In fact, they're so good that they expanded my vision for what this lesson can offer....so I'd like to propose one more (simple) workbook page:
- On the left column, the three forms of quadratic models
- On the right column, all the types of info you can possibly read straight off a form (axis of symmetry, vertex, roots, opens up or down, etc)
- Students have to draw lines identifying which info is easy to grab from which forms
This should precede What Kind of Model?
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