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University of Southern California - USC General Sorority Comments

Posted By: GR Administrator
Page 36 of 109
#351by:    
#351    

just same old bashing from all the houses

By: @@@what is going on?
#352by:    
#352    

some all 5's though

By: @@@what is going on?
#353by:    
#353    

since clearly to the left things are just getting out of hand.

DG/Kappa
Theta/Pi Phi
---------
Alpha Phi/TriDelt
ADPi/GPhiB
AXO

Please, thank you, goodbye.

By: Rankings
#354by:    
#354    

Outside, impartial evaluation in order by popularity on campus:
Theta, Kappa, DG, Alpha Phi, PiPhi, ADPi, TriDelt, GPhi, AXO, SDT. The End

By: GDI Senior
#355by:    
#355    

most accurate ranking so far

By: @Rankings

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#356by:    
#356    

Theta, DG,
Kappa, PiPhi
TriDelt, GPhiB
ADPi, AXO
SDT

By: pike
#357by:    
#357    

Here's the ultimate unbiased ranking after last fall's recruitment (ignore the prior ones clearly posted by someone trying to self-promote her house):
1. DG
2. Kappa
3. Theta
4. Pi Phi
5. APhi
6. Tridelt
7. ADPi
8. Gamma Phi
9. AChio
10.Sig Delt

In some cases, there's more of a tie between 2 houses and one of these will be above/below the other so don't feel too bad if that's your case.

By: GDI
#358by:    
#358    

Agree w GDI except seriously???? DG and Kappa are equally good after last fall's recruitment, and many would argue that Kappa did better.

By: GDI 2
#359by:    
#359    

No one cares about rankings except for rude elitists. The greek system should exemplify brother and sisterhood, not "we're better than you" attitudes.

By: @gdi from DG girl
#360by:    
#360    

Descriptive statistical tools are really just algorithms for summarizing characteristics of the distributions of scores. That is, they are mathematical operations. Where statistics really become "statistical" is on the inferential side. That is, when our attention turns to assessing the reproducibility or likelihood of the pattern that we have described. Inferential statistics can be, and are, applied to the analysis of network data. But, there are some quite important differences between the flavors of inferential statistics used with network data, and those that are most commonly taught in basic courses in statistical analysis in sociology. Suppose, for example, that I was interested in the proportion of the actors in a network who were members of cliques (or any other network statistic or parameter). The notion of a clique implies structure -- non-random connections among actors. I have data on a network of ten nodes, in which there are 20 symmetric ties among actors, and I observe

By: Social Network Guru

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