Becky Quick on
MSNBC this morning came up with a new thought, at least it was a new though for
me this morning. She said something like the deviation from the trend line was
small suggesting that a poll result was "probably" accurate. This
may be a good way to analyze poll results. Large numbers of polls give
different values. However, if observer averages the values of a time series and
plots them on a simple x-y system of coordinates, for example a daily average
poll result, this generates a wavy line. If the observer plots the average of
averages, this dampens the waves—a graphic Fourier solution. For example the mean
value of Monday, Tuesday, Wednesday is plotted, Then the mean value of Tuesday,
Wednesday, Thursday are plotted and so one the resulting line or curve takes on a smooth appearance that can be projected to the next point. I believe her
point was that any individual poll result that deviates markedly from that line
would suggest it is inaccurate and those points that fall on that line are accurate.
Where this count is when FOX News cites polls favoring Romney and MSNBC cites polls
favoring Obama then the answer to which one the listeners should believe is the
result that closest to the trend line. As a liberal with biases, I tend to
believe MSNBC and disbelieve FOX but from now on, I will believe the poll result
that falls closest to the projected trend line.
No comments:
Post a Comment