So lately
you've been hiding, it was somewhere in the news
And I'm still at these races with my ticket stubs and my blues
And a voice calls out the numbers, and it sometimes mentions mine
And I feel like I've been working overtime, overtime
Do the numbers
ever lie?
I have had to conduct, or use, numerous surveys in my engineering
career. Surveys are done because it is
NOT cost effective to observe the behavior of an entire universe. However you
can obtain statistically accurate results if the sample being surveyed looks
like the universe.
If the survey sample looks like the universe, then the sample is said to be unbiased. If the sample does NOT look like the universe, then the sample is said to be biased. ( yes I know that this is an emotionally loaded term, but that IS the statistical term). That does not mean that the sample is invalid, just that the portion that is underrepresented has to be oversampled in order to eliminate the bias.
For example, if according to the 2020 Census, the US population is 13.4% black and
50.8% female then in a nine person sample, say SCOTUS, there should be 4.5
women and 1.2 blacks. If there are 8 justices
on the Supreme Court and only 3 of them are women and only 1 justice is black,
then the next justice on SCOTUS should be a black woman.
It does not matter if the sample is screws, household
travel, corporations, or Supreme Court Justices. If the sample is biased then a method to correct
that bias is to oversample. If you oppose
that oversampling, then by definition you are biased. Figures don’t lie, but liars
do figure.
No comments:
Post a Comment