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Those can contribute to the "sense of well-being of Newport", but can't help us distinguish between east and west.
Analysis to follow, once we have all the surveys in.
I think that we'll have our Kamakaze team split into two parts:
In the meantime, there are two "new" mathematical topics that I would like to cover before the end of the year:
For quite some time now, we've heard about the lead problem in Newport. A couple of recent stories bring home the reality and seriousness of what Monica Remmy made clear to us during our breakfast discussion in Newport:
We have two sources of data:
"We are not talking about it, and we are not talking about it because there is no plan and we really don't have the money to do anything about," said Monica Remmy, president of the Westside Citizens Coalition in Newport. "Once you know there is a problem, then you are obligated to do something about it. And right now it is much easier to just not talk about it."
The USA Today website has some limited data which we can use (via their "dig deeper" link).
In order to get started, let's think about how we would estimate some variable (e.g. lead levels) based upon data (e.g. lead level samples) at an unsampled site.
In our case the data will be lead values at a few locations. From these locations and samples, we seek to estimate at neighboring locations. How should one do this? This is the fundamental question which we wish to consider.
In order to get us started in this direction, I'd like to share with you a presentation that I gave to math majors at Murray State University, many years ago. Although it was given to math majors, the major ideas can be understood by anyone. Hence we will will gloss over some of the specifics, without sacrificing the big ideas.