Data Analysis, Statistics and Probability Summary
Monday, July 1, 2002
The meeting started with an introduction of all members telling about their teaching assignments for next year and their familiarity with FATHOM. Carol also wanted us to comment on where each of our schools stand with regard to the NCTM Standard on Data Analysis. We are excited that we have so many new members that are teaching Algebra II and Statistics next year!
As expected, we discovered that we have a variety of levels of working with FATHOM. Carol explained that our main goal was to produce something that is an effective tool in using FATHOM. Aside from increasing our "learning curve" in using FATHOM, a Problem of the Week (PoW) format (as a pilot program) was discussed and will be continually discussed as we progress through the three weeks. As a group we will create a set of problems that students can analyze and submit responses to (with either a graphing calculator or FATHOM), which will then be graded by members of the group. Marie will make copies of our project from last year for each of the members.
Carol gave each of us a copy of the first PoW and we worked on answering the given questions using the TI-83+ graphing calculator. We discussed the problem of lack of proper labels with the given measurements. We all entered and analyzed the data from different perspectives. Carol then showed us the ease with which the same data could be manipulated, graphed, and analyzed using FATHOM.
Carol then handed out red folders containing info written by Gail Burrill on the Data version of the Navigations series, which is being readied for publication. The first activity from this folder was completed, generating a discussion of mean, median and mode, along with the value of discussing a bias sample vs. a random sample.
Our assignment for tomorrow is to read the Introduction and Chapter 1, which we will discuss on Wednesday. Lab time tomorrow will be spent on exploration with FATHOM. We will collect data from the HSTP participants tomorrow to use on Wednesday.
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This material is based upon work supported by the National Science Foundation under Grant No. 0314808 and Grant No. ESI-0554309. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.