I was ok with the stats class I had way back when. The part I liked most was learning how (true/valid) numbers can be manipulated to tell just about any kind of story you wanted. It was good fuel for my BS detector.
I haven't check out all the materials yet and not quite sure where this course will take us but I'm hoping we get into data driven instruction as that is one area I know nothing about at this time.
I liked Hans Rosling's videos #1 & #2 from the getting hooked on stats suggestions in the course sidebar. I had found Gapminder a while back when I was searching for a topic for some project. The data visualizations are pretty cool to play with. I just downloaded their desktop app but haven't played with it yet. I found a lot of other good sites about data and visualization that I didn't pursue for my project but are in my Diigo bookmarks/tags: data, datasources, and visualization. These may come in handy in this course??? I've also seen/used some nice Google Fusion Tables as well.
So here below is a visualization from http://visual.ly. It cites 7000 high school dropouts per day. Hmmm .... (continued below)
From Google/US census data, there are about 40 million 10-19 year olds. Now follow some rough calculations with me.
- 7000 dropouts/day X 180 school days per year = 1,260,000 dropouts per year.
- 4 years of dropouts = about 5 million = about 12.5% of the 10-20 year old range.
- Are they really saying about 1 out of 8 students eventually drop out? If this is true then WOW!