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Forums - Sales Discussion - Sales dosen't reflect demand? Why is that?



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UncleScrooge said:

Research companies are trying to avoid picking a stupid sample, though. Let's say in a phone surves they accidentally call 2000 males at the age of 40 with roughly the same income. Obviously that would affect the survey's results. But research companies know preferences of certain demographics and social groups.

For instance prior to the 2005 elections in Germany polls showed the conservatives polling around 45%. They only got 35% of the votes, though. The reason for this was not random polling, though (because research companies know about this and know how to meassure a screwed sample). They had simply underestimated the number of swing voters.

As long as you know what you're doing there is no "random sample". VGChartz does the same. They don't get data from all stores so they have to calculate store preferences, obviously. Just like Media Create and NPD.

That is just not how random sampling works. You can't specifically exclude anyone or else there is a very, very good chance that the results will be invalid. There is the notion of forcing the sample to match the demographics, but that is not as reliable as pure random sampling when it comes to generalizing the results. If you get a bad sample like the above you simple toss it all out and try again. Laws of probability dictate that you are likely to get a random sample on any given attempt so it is not that much more work. The only catch is you have to be able to know the sample was biased which in this case would not be immediately obvious.



Starcraft 2 ID: Gnizmo 229

Gnizmo said:
UncleScrooge said:

Research companies are trying to avoid picking a stupid sample, though. Let's say in a phone surves they accidentally call 2000 males at the age of 40 with roughly the same income. Obviously that would affect the survey's results. But research companies know preferences of certain demographics and social groups.

For instance prior to the 2005 elections in Germany polls showed the conservatives polling around 45%. They only got 35% of the votes, though. The reason for this was not random polling, though (because research companies know about this and know how to meassure a screwed sample). They had simply underestimated the number of swing voters.

As long as you know what you're doing there is no "random sample". VGChartz does the same. They don't get data from all stores so they have to calculate store preferences, obviously. Just like Media Create and NPD.

That is just not how random sampling works. You can't specifically exclude anyone or else there is a very, very good chance that the results will be invalid. There is the notion of forcing the sample to match the demographics, but that is not as reliable as pure random sampling when it comes to generalizing the results. If you get a bad sample like the above you simple toss it all out and try again. Laws of probability dictate that you are likely to get a random sample on any given attempt so it is not that much more work. The only catch is you have to be able to know the sample was biased which in this case would not be immediately obvious.

1) I know. Did I say that? I didn't mean to say "avoid" in the sense of not picking someone on purpose.

2) Well in the case of a completely screwed sample you may do that.

My point was that in most cases researchers won't get highly screwed results because they know about bias, demographics,  etc. But yeah in this case you are probably right and the sample could just be screwed since it wouldn't occur to them.

Personally I'd say this survey looks so "wrong" because it just asks people what they intend to buy. I was planning on buying an iPhone for all of 2010 and I didn't get one. It's just... not the best question to ask in a survey, really.

Anyways, I didn't want to sound mean and I should have quoted someone else since you are well informed. It's just that people constantly claim "they only asked x people! That can't be valid!" If you really needed 100k people to get a representative sample 90% of all polls would be invalid and VGchartz, basically, would just be based on guesswork.



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The only thing polls like this shows unless everybody doesn't have anything of these products, is what products consumers have and don't have. I'm willing to bet that out of all those voters, more had a 360 than a PS3, hence higher demand.



These graphics just show desire.

Demand = desire ability to pay

Essentially, 6-12 year olds and 13 don't have the latter part of the equation. Shock horror.