# The Lady Not Tasting Tea #apsi Day 1

Standard

Yep. Within minutes of walking into our classroom, I spilled my tea.  My super size it tea.  I made a friend for life, Teresa, as she ran down the hall with me to collect paper towels.  A.lot. of paper towels.  Did I say it was super size?  All.of.it. running across the floor.  Bless the people around me for jumping in to be my friends.  Thank you, again for helping me.  Thank goodness I drink unsweet tea, no sticky mess.

Flipping through my INB from Day 1. There.is.so.much.stuff.  oh my.  Class is what I expected but not what I expected.
We are collecting data, somewhat simple things…yet it is the discussions that add to my take-aways.

Landy Godbold from Atlanta is our instructor.  He is good.  Very good.  His tshirt day one read:  Statistics mean never having to say you’re certain.  He says we need to get our students in the mindset: Statistics is about stories.  And he has whiteboards!!!  Love this guy.

Big idea for the day…week…variability.

E.A.C.  -Evidence. Argument. Conclusion.

Hey there’s that word again…ubiquitous…its everywhere.

Tell me the story!  Your students become lawers and must layout their case to the jury.  What do you want me to see, link it to the evidence and make your conclusion.

And the big question of the day… Compared to what?

What is typical?  How do I decide if this is typical or not?
Data set 1: What is the fastest speed you traveled in a car?

Story 1: Driving with cell phone is dangerous.  Given a two-way table and asked if it was typical…compared to what?

Simulation 1: come up with a method to simulate experiment using a deck of cards.  Discussion of ideas.  Ran experiment, combined data and came to a conclusion.
Data set 2: number of drivers, talking on cell phone who missed their exit from the simulation.

Do I really understand what the plot represents?  Where does my statistic of my sample fit?

Case, Sample, Population
Case-subject, variable -information about my case (categorical or numerical)
Sample, statisitc-always numerical
Population-everything that can happen, parameter

How often should I identify these myself to get it down?  I feel these are things that must become second nature for my students.  I suppose I will ask for these quite often.

Case:  driver talking on cell phone or passenger,
Variable: missed exit or didn’t
Sample: # talking on cell phone & missed the exit
Population: 48 who volunteered, bc experimental, really no population…

Data Set 3: measure length of peanuts in the shell
Data set 4: desk widths

When we begin to look at stem-leaf plot, is the detail there? Am I seeing what I want to see?  May need to split depending on size of set and am I seeing what I need to see?  How do we know when to split or not…let my sudents play around with it-let them see it, explore, build in fiddle time for them to experience it.

With the peanut data, based on our 6 pieces of data, we were asked to predict what we thought graph would look like.
Everyone showed their white boards.  We got to asked questions….”why the dips/gaps?”  I wondered in a few of others’ sketches…

Unexpected to me to see bimodal behavior.
The center and spread of bimodal is meaningless…discuss the clusters, and behavior around those.
Pine needles from 2 types of trees always rssult in bimodal.

Did you know saving list of data in a program on TI84 saves memory?  handy tidbit to know.  Though he recommends Nspire, majority of participants have 84s available.

S.E.C.S
shape-describe patterns, peak, symmetry, skew
exceptions-outliers, gaps
center-what does my eye see?