bigjon said:
Killergran said:
bigjon said:
WiiStation360 said:
Oyvoyvoyv said:
WiiStation360 said: December is a 5 week NPD month. (November 30 - January 3) Given that, all of his initial predictions seem way low when compared to VGC data. |
:O Okay
Well, VGC in that time-frame (missing 1 week)
Wii: 4M (so ~ 5M total? That would mean Pachter is 2M lower...)
X360: 2.1M (so 2.5M total? Would mean Pachter being 1.2M lower....)
Ps3: 0.9M (so 1.2M total? That would mean Pacher being 500K lower...)
I think you've got the wrong weeks.
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It could coorespond to these4 weeks, plus next week.
VGChartz Hardware data for the period 06th Dec 2008 to 27th Dec 2008:
| Console |
Wii |
PS3 |
X360 |
|
America
|
3,162,172
|
740,675
|
1,611,184
|
In any case, Pachter looks it be low for all 3, based on VGC data.
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erm, that is all of NA divide it by 1.1 for so to get US.
I think- (which is just as good as a patcher prediction..lol)
Wii- 3.5 in US alone
360- 1.8 mil in Us
PS3- 800k in US
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Dividing by 1.1 is NOT the same as multiplying by 0.9
I repeat, it's NOT the same.
When you get so close to 1 it's kinda not a huge deal, I admit, but it still gives you faulty numbers.
Dividing by 1.1 is more the same as multiplying with 0.91
Multiplying by 0.9 is the same as dividing by 1.1111111.....
It's a common mistake that can really, really mess up your calculations.
For reference, try multiplying by 0.5 and dividing by 1.5. You do not get at all the same answers.
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um... I hate to tell you this, but.. the US % of NA is not EXACTLY 90%, it is 90% give or take 1 or 2 % points depending on the Week.
so dividing it will not give you a faulty number, just it will not give you the same number as mult. by .9
I just tend to like division more for some reason, people can dow whatever they want.
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But we have a rule for how we do it. It's pretty important that you are consistant (spelling?) in how you do it.
It will give you a faulty number. It is a small fault, but it is still a fault.
It isn't a major problem, but you still shouldn't do it really.
It's maths - a small mistake can make HUGE mistakes in conclusions, that's why you need to be super-precise.