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Class Openers Statistics

Class Opener – Day 44 – Statistics Clue Boxes

A problem I gave as review for our statistics test today became not only a source of conversation regarding vocabulary, but provided me some insight into the problem solving approaches of my students.

Here’s the problem. A list of numbers is given, listed in order, with some numbers removed:

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The list has the following characteristics:

  • A mean of 76
  • A range of 32
  • An inter-quartile range of 21

Many students quickly understood the last blank must be 92, due to the range, but then became stuck.  As we’ve never explicity seen a problem like this before, the reactions from students was fascinating.  Some pockets of students had no fear in drawing circles and arrows to break down the data set. Others preferred to talk ideas out, but without putting pen to paper this doesn’t lead to solutions right away. I was thrilled to see a few students step up and take the lead, and explain their ideas to others, which then led to breakthroughs.  Identifying the positions of median and quartiles here lets us fill in one of the missing numbers:

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But a subset of my class was content to watch from afar, waiting for hints which they assumed would come. Or worse, tuning out until I presented an explanation to the class….which never came.

And that last blank caused more trouble than I would have expected, as some students had trouble making the connection between the mean of a data set and the sum of its elements.  To help with this, I asked struggling students to provide me with any 4 numbers which had a mean of 10 (making them different numbers).  I asked students what I should be looking for to check accuracy besides computing the mean….and then, the light bulb!  All lists need to add up to 40!  So without explictly doing the empty blank problem in front of us, I sent students back to the board to think about this fact.  And the results were satisfying, as many of my fringe students could now complete the task and explain their procedure to their peers.

Students need to understand math ideas in many forms, and the concept of mean here demonstrates this need.  If you ask a student how to compute a mean, they most likely have little difficulty, and have had much practice:

Mean = sum of “scores” / count of “scores”

But in the missing numbers puzzle, the concept “felt” different and thus “new” to many students.  For me, this is where many students struggle in math classrooms.  Are we showing students how ideas and problems connect to big ideas?  Or does each combination of an existing problem become treated like a new experience?  It’s hard to break the pattern of students wanting specific rules for each type of math problem, when this is often the math conditioning they receive. But it’s worth the hard-fought battle.

And if you had fun with the challenge at the start of this post, try the similar problem I give later as an assessment:

boxes

Categories
Class Openers Statistics

Class Opener – Day 43 – Statistics as Art

Big Stats test tomorrow – students are getting antsy, lots of movement happening with review and reflection.  Today was a good day to step back, think about the role of numbers in society and appreciate some intriguing artwork.

Chris Jordan is a photographic artist whose works “Running the Numbers – an American Self-Portrait” cause you think of the largeness of our world, and the amount of waste we create. His website contains a number of fascinating pieces which zoom to reveal a statistic about our society’s wastefullness.  It’s an awesome experience, and we started class today by discussing a number of the pieces and the large numbers they represent.  There were a number of “whoa” moments as the composition of each picture was revealed, and I read the helpful statistic attached to each work.  Based on the size of each piece, there are some great estimation discussions to be had here as well.  It’s statistics – it’s art – world are colliding in a cool way!

Chris’s TED Talk “Turning Powerful Statistics Into Art” can also be shared with classes to learn more about the message of these pieces.

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Class Openers Statistics

Class Opener – Day 42 – A Sampler of Sampling Methods

2014-11-05_0001After a day off for election day, it’s back to the world of random sampling, margin of error and plausible intervals.  These tend to be tricky ideas for students, as we move from the “absolute” world of algebra and into the slightly more wishy-washy world of sampling and plausability.  My board scribblings were intended to remind students that we draw samples to represent populations, and that random sampling is king!

But random sampling is messy business, and there are other sampling techniques I want students to consider, and think about their effectiveness.  Rather than lecture each type (caution – excessive vocabulary lectures may cause drowsiness), I gave students a list of words I expected them to research and find suitable resources.

  • Cluster Sampling
  • Stratified Sampling
  • Systematic Sampling
  • Convenience Sampling

After a few rounds of walking around the room to discourage random copying of definitions which they didn’t understand anyway, many groups began to ask the “right” questions, relating the ideas to hypothetical surveys we could do of high school students.  Towards the end of our time, each group was assigned one term to “explain” on a poster through a visual representation. And now, we have a great crowd-sourced wall of survey vocabulary to refer to during discussions!

posters