- Joined
- Aug 17, 2011
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How an article like this can go by without comment while we get the latest updates on stone's love life is beyond me. More smoke for an emerging Facey.
Funniest line: "In an odd statistical quirk, in UConn’s 32 wins Nolan averaged 3.9 points and 2.5 rebounds, but in eight losses had just 1.0 ppg and 1.8 rpg."
In an odd statistical quirk, most players on every team in the NCAA, NBA, NFL, and MLB last year had better stats in wins than in losses.
Nolan getting stronger is a great thing. With experience we should increase our expectations. If he compliments Brimah and the other bigs, our big men will no longer be our weakness. We are already 'very' strong in the guard department.
All eyes on Omar and DHam in the 3 spot. To me that's the focus. If that area produces then the pundits are all wrong, very wrong.
Pundits are saying that Hamilton isn't going to produce?
In defense of the writer, we do not know if the difference is within the range of a standard deviation or out of its range. One would need to compile all of his game statistics and determine the STD. I would suspect given the low numbers it's out (and as such your criticism is valid) but without doing the work, you just don't know. For all we know, both the high and low are within the STD, so both his argument (low leads to loss) and your argument (high leads to win) are unsupported by the statistics.Seriously, that was a ridiculously dumb statement, even for a sportswriter.
In defense of the writer, we do not know if the difference is within the range of a standard deviation or out of its range. One would need to compile all of his game statistics and determine the STD. I would suspect given the low numbers it's out (and as such your criticism is valid) but without doing the work, you just don't know. For all we know, both the high and low are within the STD, so both his argument (low leads to loss) and your argument (high leads to win) are unsupported by the statistics.
Therein lies the problem, the people who use statistics to argue are less likely to understand which method to use or what conclusions to draw from the results.
In defense of the writer, we do not know if the difference is within the range of a standard deviation or out of its range. One would need to compile all of his game statistics and determine the STD. I would suspect given the low numbers it's out (and as such your criticism is valid) but without doing the work, you just don't know. For all we know, both the high and low are within the STD, so both his argument (low leads to loss) and your argument (high leads to win) are unsupported by the statistics.
Therein lies the problem, the people who use statistics to argue are less likely to understand which method to use or what conclusions to draw from the results.
Funniest line: "In an odd statistical quirk, in UConn’s 32 wins Nolan averaged 3.9 points and 2.5 rebounds, but in eight losses had just 1.0 ppg and 1.8 rpg."
In an odd statistical quirk, most players on every team in the NCAA, NBA, NFL, and MLB last year had better stats in wins than in losses.
Well I would not feel so all alone, everybody (thinks that they) must get Stone...Must...get...Stone...
How can you not like Nolan, just a cool dude.
See I see him as the opposite, a totally weird, awkward bird, but he has fun with it and isn't afraid to let out his weird. I've said it before but I find it to be an extension of the weird brotherhood that began with JLamb and Roscoe as freshman, and Oriakhi to a degree too. That shot of him doing the shake to the Nth degree during the 2011 championship run will always be imbedded in my brain
25 pounds in six months (March/September)? That does sound like a lot. Hope his body has adjusted.
He seems to have a good body frame for adding weight. I'm curious to see how his squat numbers increased and other explosion numbers improved to get to his new weight.