I'm a molecular biophysicist in a biochemistry department. In a college of medicine. And I'm funded by the NSF. Not too sure my dean likes that... I'm here to blather on about things that interest me and to raise the average age of the bloggers here by at least 1.2567 years. And I'm Australian.
My posts are presented as opinion and commentary and do not represent the views of LabSpaces Productions, LLC, my employer, or my educational institution.
The time I spend reviewing as a function of proposal score (NSF ratings) can be summarized by:
Of course most proposals are in or near the Good category...
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If you combine every measure of a particular thing in the whole world, Its a normal distribution. You got it right in this case too.
Prabodh Kandala said:
If you combine every measure of a particular thing in the whole world, Its a normal distribution.
Is this actually true?
If it were, we would have no need of tests for normality. Though, I'd say * that most thing probably do fall under a normal distribution.
*Note, my statement is devoid of any statistical proof to support it.
Well well. This was my hypothesis. This world is balanced because, if there is 50% good, there is 50% bad (this is a crude example). Imagine what would happen if there is 100% good or 100% bad.
To support my Hypothesis, our recent Statistics teacher told this point while she was teaching "Normal distribution".
Well, you are more experienced than me, so I would agree if you prove it other way.
Um ... guys? You're making my head hurt!
Oh good. I hate to feel like the only one who doesn't get it!
When the hell did this joint turn into PhilosophySpaces?
Just for fun.
I like the SJ Gould analogy. A drunken man on a sidewalk beside a building has some probability of stumbling into traffic but no probability of stumbling through the wall. Thus a street skewed distribution
Given that many proposals are reviewed by people with a pen in one hand and a stiff drink in the other, I would say that's a pretty good analogy.
When my friend was writing his dissertation, he would give sections to his advisor for review. When he got it back he could tell that the prof was getting more and more drunk the further into the paper he got because there were more scotch stains and the comments were more vulgar and abusive.
That is a little excessive.
(Sorry about the pun.)
Everything is normally distributed? Evverything? SRSLY?
Tish and pish and fie upon you! Get back to stats 101.