So in our final class we talked about three features we should
look for in evaluating statistical data. [I am always amazed that
their relevance is not emphasized in classes.] variation, shape
and central tendency.
In our daily lives we are faced with statistics for nearly everything
and given “selective” interpretations to sell or convince us of various
- insure the data provides its sample size and range and variability
[small sample size, limited range, no measure of variation should
not be basis of a general position.]
- If the data is presented with many significant figures, it should
raise “red flags” in your mind. [10,234,511.39 ?]
- The shape of the distribution of measure reveals critical insight.
[power law, normal, bimodal, skewness…]
- What is the appropriate central tendency representation? Mean
if it is normal distribution…Other than that, questions are needed.
There are two radioactive species in our environment that we
should be aware of some things. One I encountered when I was asked
by a middle school student about a science project on radioassays.
That is when I learned about technetium. Technetium-99 is most
useful as a radioassay measure for imaging internal organs.
published a short factoid recently about this lightest, artificially
produced element. ”Technetium cows
” were developed by BNL
researchers and have been in use for more than 50 years in
medical diagnostics and research. In addition, technetium is a
by-product of U-235 decay and thus can be a valuable monitor
for nuclear reactor spent fuel rod decay and storage.
A second radioactive element is the gas, radon. Radon is naturally
occurring in the environment and is attributed to be an effector of
. Radon decays naturally producing alpha
of the prevalence of radon in the US point to where
it is. This should be a point of reference for us where we live