First, I've got to give a shout out to cavemonkey50 for this great idea and way to organize it.
I've organized the results from above in a summary:
name store week number quality
cavemonkey50----Apple---36--------101------bad
buffalo--------------------37--------100------good
dmize---------------------37--------100------good
telf22------------apple----36--------___------bad
EnTg888---------Apple----37--------101------bad
bushman1-----------------37--------___------bad
teerexx52--------Apple----37--------100------good
sprucegoose-----BestBuy--37--------101------bad
madmaxmedia----BestBuy--37-------- ___-----bad
WILLDOGS-------Apple-----37--------100-------good
graln1k----------BestBuy--37--------101------bad
gloss----------------------37-------100-------bad
DocVT----------BestBuy---36-------100-------good
dragonguy83----Apple-----36-------100--------bad? (just a little?)
It appears that week number and store have little to do with this (althogh of course we have too few samples).
We need to know if it was 100a or 101a from telf22, bushman1, and madmaxmedia...
To summarize the rest:
101a- 4 models- all bad
100a- 6 models- 5 good, one bad, one a little bad?
Well, we are far from conclusive, but there appears to be a pattern emerging, keep sending in numbers and quality (and store and week just to be sure)!