Statistics Lesson Plan (Percent Body Fat)

Lesson Objective for 9th Grade Algebra 1 Class:  Use scatter plots and lines of best fit to see if simple body measurements can determine someone’s body fat percentage.
Use these techniques to predict the body fat percentage of ourselves and others (males).

Agenda:  I will show you how to use Fathom* to investigate whether neck size is a good determination for weight.
You will then use Fathom to determine if stomach/abdomen circumference is a good way to determine body fat percentage AND predict what your body fat percentage is.
Homework will be to take measurements of male relatives and predict their body fat percentages.

Attachments:

Do Now/Guided Practice/Homework document

Powerpoint Presentation introducing lesson

*for those without Fathom, data is available here

http://lib.stat.cmu.edu/datasets/bodyfat

to be imported into Excel to create the necessary scatter plot diagrams.

I can email you my Fathom file if you would like.

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2 Responses to Statistics Lesson Plan (Percent Body Fat)

  1. semhouston1 says:

    I think this is a great lesson that allows students to apply knowledge to a real-life situation, thus seeing the relevance and having a little fun in the meantime. To improve this lesson, I may ask groups of students to present this data using other types of data visualization tools, and then present their data to the class. I think this would be a great way to give students access to tools that they can use in the future to visualize data. Giddyup!

  2. peterhorn33 says:

    n this assignment Al is asking his students to “make and test conjectures” about whether or not simple body measurements can determine someone’s body fat percentage. ( a little aside… My school handed out printouts to each student last year that gave them their BMI and then told them if they were obese or not. I am guessing that they got these figures when the students went down for their yearly physicals at the nurses office. The shame of it is that almost all of my students were either obese or borderline obese even though I would say by my untrained eye only half or so looked overweight. I would love to do this with my students the next day to show them how inaccurate some of these finding can be.)

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