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[markatisu]

Haven't we learned by now that Wii games often start out slow?

HoTD Overkill debuted higher than any previous light gun game before it so why is there any negativity???

 

[poppabk]

Uh huh, what i said was not a throw away comment.
Sooooo, how exactly have i altered my argument? How am i 'carefully' choosing my data?

As for the holiday periods, they cover pal weeks 7,8,14,15,16,17,21,22,23,30,31,32,33,34,35 with pal weeks 28,29 being the last two weeks of the summer term when very little work is done.

I believe the original argument was about software sales and that the wii saw a boost in the number of charting titles based off of kiddy titles during the holidays, and I have bolded at least one place above where you have made ad hoc changes to your hypothesis.

Anyway the data shows that at p=0.05 no console has any statistically significant trends in mean sales either over the entire year or in each of the three segments between holiday and non-holiday sales.
The closest to being significant is the negative trend of the 360 for the entire year with p=0.055. For the Wii the positive trend has a p=0.08 for the entire year and no better than 0.26 for any particular segment of the year.

 

[doicare]

It most certainly was:

Did you make the comment or did i? I did, and you have no idea how i meant it so just because i chose to make the comment funny does not make it a 'throw away comment'.

It was only after it was pointed out that Wii sw was strong for months previously, that your argument changed from summer holidays to every holiday in Britain.
Why is it anyone else's job to prove you're wrong? Don't you have to prove yourself correct first? The only thing you've proven is correlation, I can do that too:

Wk1 sw 14 (new moon)
Wk2 sw  7
Wk3 sw  7
Wk4 sw  7
Wk5 sw 15 (new moon)
Wk6 sw  8  
Wk7 sw  7
Wk8 sw  16 (new moon)
Wk9 sw  7
Wk10 sw  7
Wk11 sw  15 (new moon)

By your logic Nintendo should be thanking the new moon for their sales...

Why would it make any logical sense for wii software to get a boost in only one holiday and not all of them? :lol

If people want to be dicks and ridcule what i have said then they have to back up what they are saying with some proof, two 'wrongs' don't make a right. I've provided plenty of proof with zero proof being presented against it. By your standards i've proven a correlation, so why don't you ask yourself what is the most likely reason for that finding...?

 

[Psychotext]

I've provided plenty of proof with zero proof being presented against it.

It's in the post right above yours.

 

[doicare]

I believe the original argument was about software sales and that the wii saw a boost in the number of charting titles based off of kiddy titles during the holidays, and I have bolded at least one place above where you have made ad hoc changes to your hypothesis.

You're getting confused with a general point of view i had and then me trying to prove it with the data that was publically available. The 'theory' i spoke about was that kids are a big factor in wii sales, and when kids have free time to do what they want a.k.a play games, wii sales (software and hardware) go up. Kids have the most free time during school holidays so that translates into higher wii sales then. That point of view has never changed. However during the process of trying to prove that point of view many varying avenues of sales/wii were talked about. Lots of other people brought many other things into the discussion and whilst i was happy to talk about them they were not the point of what i was trying to say.

Anyway the data shows that at p=0.05 no console has any statistically significant trends in mean sales either over the entire year or in each of the three segments between holiday and non-holiday sales.
The closest to being significant is the negative trend of the 360 for the entire year with p=0.055. For the Wii the positive trend has a p=0.08 for the entire year and no better than 0.26 for any particular segment of the year.

I really have no idea what you have done with those numbers but it is a fact that the numbers show the wii's school holiday sales compared to the relevent non holiday sales received a boost.

It's in the post right above yours.

Like i said what he has posted doesn't compare the relevent weeks correctly.

 

[Weisheit]

Did you make the comment or did i? I did, and you have no idea how i meant it so just because i chose to make the comment funny does not make it a 'throw away comment'.


Why would it make any logical sense for wii software to get a boost in only one holiday and not all of them? :lol

If people want to be dicks and ridcule what i have said then they have to back up what they are saying with some proof, two 'wrongs' don't make a right. I've provided plenty of proof with zero proof being presented against it. By your standards i've proven a correlation, so why don't you ask yourself what is the most likely reason for that finding...?

Your "theory" is irrelevant. Wii is more popular amongst kids, nobody doubts that. Its more popular amongst every other demographic too, just like the PS2 was. The only problem I have with your "theory" is it seems like you're just a bitter Sony fan trying to cope with Nintendo's domination over Sony. Also, only those in denial maintained Sony had any chance this gen after $599...

 

[BishopLamont]

What's this "theory" you're always talking about, I always run over these threads and everytime the same discussion. xD

Basically his theory is school kids are responsible for Wii sales, throw in slow DS software sales when the "data" doesn't correlate with his theory, using number of titles charts then switching to school dates as data points, changing these dates whenever he feels like, accusing of people being Nintendo fanboys.

"6000 hardware units is indication of a school holidays impact", saying his theory applies to school holidays then changing to every holiday, separating 360/PS3 initially only to combine them after when it's clear Wii software sells. Repeating the same tired points that have been refuted over and over again by multiple people, only to come back and repeat "You've yet to prove me wrong".

But most of all his theory is meaningless, ofcourse holidays in general affect Wii software sales, but kids isn't the major force, everyone is. I mean you'd think he'd get the picture by now when people are mocking his theory even when he hasn't posted in the thread.

 

[ksamedi]

One of the reasons that the Wii is selling more than both HD consoles combined is that it has something for every audiance. Ofcourse kids like the Wii, so do adults. Its for everyone. So I don't see whats so special about Diocare's point. It probably is true that a lot of kids buy Wii's. His data does not prove that though.

 

[doicare]

Basically his theory is school kids are responsible for Wii sales, throw in slow DS software sales when the "data" doesn't correlate with his theory, using number of titles charts then switching to school dates as data points, changing these dates whenever he feels like, accusing of people being Nintendo fanboys.

"6000 hardware units is indication of a school holidays impact", saying his theory applies to school holidays then changing to every holiday, separating 360/PS3 initially only to combine them after when it's clear Wii software sells. Repeating the same tired points that have been refuted over and over again by multiple people, only to come back and repeat "You've yet to prove me wrong".

I mean you'd think he'd get the picture by now when people are mocking his theory even when he hasn't posted in the thread.

Or in reality, i said wii sales were higher than usual because it was the school holidays and kids were buying more games. I offered logical explanations when the data didn't always 100% fit. I used the number of titles charting then switched to school dates as rough data points because so many people were b*tching that the number of titles that charted wasn't accurate enough to show a trend. To your point about fanboys, i was being 'bashed' by fanboys so i called them out.

And seriously where are you getting this 'saying his theory applies to school holidays then changing to every holiday' from? Seperating 360/ps3 then combining them? Just saying i'm wrong doesn't make me wrong.

 

[poppabk]

I really have no idea what you have done with those numbers but it is a fact that the numbers show the wii's school holiday sales compared to the relevent non holiday sales received a boost.

http://en.wikipedia.org/wiki/Student's_t-test
I have performed a t-test on the data, which looks at the two means relative to the variation and attributes the probability that the difference in the two means is due to chance or not. The data say that your fact at the 95% confidence level is not a fact.
Honestly the data will never show what you want it to show anyway.
Even if a few figures were different and the p value dipped below 0.05, it would just mean we could reject the null hypothesis (at 95% confidence) that the two different populations have the same mean. It still would not follow that the difference is related to school holidays. Just as the negative trend that the 360 shows does not demonstrate that once the kids go back to school parents run out and buy themselves a 360 and therefore the 360 is mainly owned by people with kids.

 

[doicare]

Your "theory" is irrelevant. Wii is more popular amongst kids, nobody doubts that. Its more popular amongst every other demographic too, just like the PS2 was. The only problem I have with your "theory" is it seems like you're just a bitter Sony fan trying to cope with Nintendo's domination over Sony. Also, only those in denial maintained Sony had any chance this gen after $599...

Well if this post doesn't prove the bs i'm having to put up with then nothing will. The bottom line is i'm in a sales thread and i want to talk about sales, fanboy crap is irrelevant. You accept the wii is more popular amongst kids, i agree it is more popular amongst all demographics with the exception (in my opinion) of the male 20-30 age bracket, so there for it is common sense that the wii will get the biggest boost during times when kids have more free time and or money. However instead of people just saying 'yeah okay i see where you are coming from', there's all this fanboy crap with people calling other people fanboys and saying stuff like 'you're just a bitter Sony fan trying to cope with Nintendo's domination over Sony', which is messed up to begin with but it overshadows the numbers and stats and ruins the whole thread. And again what's with the revisionist goggles looking back at what people thought of sony and how this gen was going to turn out? The xbox360 was just going to be another xbox, the wii was the 'death' of nintendo (do yourself a favour and look back at the thread where the wii was revealed) and the ps3 whilst expensive was going to still be number one with blu ray, cg killzone and all the water tight exclusives such as ffxIII, dmc4,virtua fighter,resevil5 etc...

 

[Weisheit]

http://en.wikipedia.org/wiki/Student's_t-test
I have performed a t-test on the data, which looks at the two means relative to the variation and attributes the probability that the difference in the two means is due to chance or not. The data say that your fact at the 95% confidence level is not a fact.
Honestly the data will never show what you want it to show anyway.
Even if a few figures were different and the p value dipped below 0.05, it would just mean we could reject the null hypothesis (at 95% confidence) that the two different populations have the same mean. It still would not follow that the difference is related to school holidays. Just as the negative trend that the 360 shows does not demonstrate that once the kids go back to school parents run out and buy themselves a 360 and therefore the 360 is mainly owned by people with kids.

And again what's with the revisionist goggles looking back at what people thought of sony and how this gen was going to turn out? The xbox360 was just going to be another xbox, the wii was the 'death' of nintendo (do yourself a favour and look back at the thread where the wii was revealed) and the ps3 whilst expensive was going to still be number one with blu ray, cg killzone and all the water tight exclusives such as ffxIII, dmc4,virtua fighter,resevil5 etc...

That's what Sony fans like yourself thought at least 5 months after launch. Everyone else (at gaf) not so much. Again $599 US DOLLARS.

You accept the wii is more popular amongst kids, i agree it is more popular amongst all demographics

People aren't debating the Wii's popularity amongst kids, but rather, your stupid theory that has no validity.

 

[BishopLamont]

Anyone thinking "Wii software sales are front-loaded due to the cheap price of the Wii" has no business proposing any kind of theories whatsoever.

 

[doicare]

http://en.wikipedia.org/wiki/Student's_t-test
I have performed a t-test on the data, which looks at the two means relative to the variation and attributes the probability that the difference in the two means is due to chance or not. The data say that your fact at the 95% confidence level is not a fact.
Honestly the data will never show what you want it to show anyway.
Even if a few figures were different and the p value dipped below 0.05, it would just mean we could reject the null hypothesis (at 95% confidence) that the two different populations have the same mean. It still would not follow that the difference is related to school holidays. Just as the negative trend that the 360 shows does not demonstrate that once the kids go back to school parents run out and buy themselves a 360 and therefore the 360 is mainly owned by people with kids.

Well your t-test failed.

Weeks 2-6 which are the first school term have average weekly sales of 87,800. Weeks 7-8 which are the weeks of the first school holiday have average weekly sales of 102,000. That's an increase of 14,200 per week. That cannot be ignored, where's that in your t-test?

Same happens for the next period, weeks 9-23 there were 7 weeks of school holidays and 8 weeks of non school holidays. The average weekly sales of non holiday weeks was 105,000 whilst the school holiday average was 130,100. That's an increase of 25,100! Where's that show up in your test?

Then finally from weeks 24-42 (i would go further but that's where the charts data ends) there were 6-8 weeks of school holidays and 11 weeks on non holidays. Average non holiday sales were 114,800 whilst average holiday sales were 120,100. An increase of almost 6000.

If your test just takes every week that's a holiday and averages it out and compares to an average of every non holiday week then that is flawed because hardware sales have seasonal highs and lows and whilst you can compare some weeks that are close together you can't compare an entire years worth of data like that. Like wise for most holidays you can't compare every non holiday week before and after a holiday for the same above reason.

 

[doicare]

That's what Sony fans like yourself thought at least 5 months after launch. Everyone else (at gaf) not so much. Again $599 US DOLLARS.

People aren't debating the Wii's popularity amongst kids, but rather, your stupid theory that has no validity.

No case closed here with my theory, the test he used is flawed because it doesn't take into account the natural seasonal changes in hardware sales. I'm not a sony fan, i am a fan of good games, that's why i've owned all the consoles for the past two gens. If you want my live tag, my friend code or my psn id then feel free to send me a pm.

If people aren't debating wii's popularity with kids then they can't debate my theory. My theory is the wii is more popular with kids than the ps3 or 360 so at times when kids have more free time and or money, they will play/buy more wii games and during the school holidays this is a perfect case.

Anyone thinking "Wii software sales are front-loaded due to the cheap price of the Wii" has no business proposing any kind of theories whatsoever.

Again i see people have their revisionist goggles on. Many people predicted the wii bubble would burst shortly, not just people who post on forums but top sales analysts. Do you remember what happened with the N64? It started off selling sh*ttons but after a few months the bubble burst.

 

[Weisheit]

No case closed here with my theory

It's only taken seriously by one poster......

 

[poppabk]

Well your t-test failed.

Weeks 2-6 which are the first school term have average weekly sales of 87,800. Weeks 7-8 which are the weeks of the first school holiday have average weekly sales of 102,000. That's an increase of 14,200 per week. That cannot be ignored, where's that in your t-test?

Same happens for the next period, weeks 9-23 there were 7 weeks of school holidays and 8 weeks of non school holidays. The average weekly sales of non holiday weeks was 105,000 whilst the school holiday average was 130,100. That's an increase of 25,100! Where's that show up in your test?

Then finally from weeks 24-42 (i would go further but that's where the charts data ends) there were 6-8 weeks of school holidays and 11 weeks on non holidays. Average non holiday sales were 114,800 whilst average holiday sales were 120,100. An increase of almost 6000.

If your test just takes every week that's a holiday and averages it out and compares to an average of every non holiday week then that is flawed because hardware sales have seasonal highs and lows and whilst you can compare some weeks that are close together you can't compare an entire years worth of data like that. Like wise for most holidays you can't compare every non holiday week before and after a holiday for the same above reason.

I performed the t-test for the entire year (2-42) and then for each individual segment separately (2-8, 9-23, 24-42). The averages are not statistically significant in any individual segment. The t-test takes into account the average and the standard deviation within the populations to determine how confident you can be that any differences are not just due to chance. You may think that the averages of 87800 and 102000 are significantly different but given the variance of these populations they are not because the standard deviations are 18000 and 10000 respectively. Hopefully you can see that your "significant" difference is smaller than the standard deviation. And one standard deviation in a normal distribution only accounts for ~66% of the sample variance.

 

[Psychotext]

I wish I had stayed in school. This discussion looks interesting!

 

[Weisheit]

Again i see people have their revisionist goggles on. Many people predicted the wii bubble would burst shortly, not just people who post on forums but top sales analysts. Do you remember what happened with the N64? It started off selling sh*ttons but after a few months the bubble burst.

Only those with their heads firmly implanted in Sony's rectum thought this, including the analyst.

I performed the t-test for the entire year (2-42) and then for each individual segment separately (2-8, 9-23, 24-42). The averages are not statistically significant in any individual segment. The t-test takes into account the average and the standard deviation within the populations to determine how confident you can be that any differences are not just due to chance. You may think that the averages of 87800 and 102000 are significantly different but given the variance of these populations they are not because the standard deviations are 18000 and 10000 respectively. Hopefully you can see that your "significant" difference is smaller than the standard deviation. And one standard deviation in a normal distribution only accounts for ~66% of the sample variance.

Again:

 

[onipex]

NVM. I see this has been going on for while and it looks like there will be no end.

 

[doicare]

I performed the t-test for the entire year (2-42) and then for each individual segment separately (2-8, 9-23, 24-42). The averages are not statistically significant in any individual segment. The t-test takes into account the average and the standard deviation within the populations to determine how confident you can be that any differences are not just due to chance. You may think that the averages of 87800 and 102000 are significantly different but given the variance of these populations they are not because the standard deviations are 18000 and 10000 respectively. Hopefully you can see that your "significant" difference is smaller than the standard deviation. And one standard deviation in a normal distribution only accounts for ~66% of the sample variance.

Well to be perfectly honest the t-test doesn't take into account many other things, and the t-test will never change the fact that the wii during the weeks i have compared against gains a weekly increase of anywhere in between 6000-25,000. Trying to chalk that up to 'statisical' noise is laughable when the vast majority of the time the preceeding week to the holidays has lower sales then the first week of the holiday and the first week after the holiday has finished it has lower sales then the last week of the holiday.

 

[DNF]

Well to be perfectly honest the t-test doesn't take into account many other things, ...

So do you, things like hardware shipments, software shipments or release dates.
Which have likely more effect than holidays. You can't prove me wrong ? This means i am right.

DNF <-- Proud founding member of the t-test-defense-force

 

[poppabk]

Well to be perfectly honest the t-test doesn't take into account many other things, and the t-test will never change the fact that the wii during the weeks i have compared against gains a weekly increase of anywhere in between 6000-25,000. Trying to chalk that up to 'statisical' noise is laughable when the vast majority of the time the preceeding week to the holidays has lower sales then the first week of the holiday and the first week after the holiday has finished has lower sales then the last week of the holiday.

One last time. The null hypothesis for comparing two means is - there is no difference between the two means. To reject the null hypothesis you need data that are statistically different, ie you have to prove significance not non-significance. The data in this case are not different statistically at the 95% confidence level. The t-test is a very well accepted statistical test which is mathematically rigorous and has stood up to 100 years of scrutiny, it is certainly not laughable, and it is definitely not dismissible.
The data do not support your original hypothesis that the means are significantly different. They may support your new hypothesis that the last week of non-holiday and the first week of a holiday are statistically different, but I am not going to bother checking because a) shifting from hypothesis to hypothesis until you get the answer you want is bad science and b) it wouldn't demonstrate anything remotely interesting anyway.

 

[doicare]

One last time. The null hypothesis for comparing two means is - there is no difference between the two means. To reject the null hypothesis you need data that are statistically different, ie you have to prove significance not non-significance. The data in this case are not different statistically at the 95% confidence level. The t-test is a very well accepted statistical test which is mathematically rigorous and has stood up to 100 years of scrutiny, it is certainly not laughable, and it is definitely not dismissible.
The data do not support your original hypothesis that the means are significantly different. They may support your new hypothesis that the last week of non-holiday and the first week of a holiday are statistically different, but I am not going to bother checking because a) shifting from hypothesis to hypothesis until you get the answer you want is bad science and b) it wouldn't demonstrate anything remotely interesting anyway.

Just because some statisitcal test doesn't reconise 6000, 14,000 and 25,000 increases in weekly sales doesn't change the fact that they exist. They are significant and it also doesn't take into account the last week of non-holiday and the first week of a holiday sales match what i say, and f.y.i. i've been stating that fact going all the way back to when i was comparing weekly sales on the weighted sales chart over 4 months ago, so no i'm not changing my hypothesis until i get the answer i want because i already have the answer.

 

[Weisheit]

Just because some statisitcal test doesn't reconise 6000, 14,000 and 25,000 increases in weekly sales doesn't change the fact that they exist. They are significant and it also doesn't take into account the last week of non-holiday and the first week of a holiday sales match what i say, and f.y.i. i've been stating that fact going all the way back to when i was comparing weekly sales on the weighted sales chart over 4 months ago, so no i'm not changing my hypothesis until i get the answer i want because i already have the answer.

:lol

 

[TheKingsCrown]

hello thar doicare

what's going on in this thread

 

[Raist]

 

[Graphics Horse]

Is this still going on?

Families are more likely to buy family games when they have time to spend together as a family.
I hope there's more to this theory than that, because it doesn't seem worth arguing over either way.

Incidentally, Yesterday I saw the first Wii music ad I've seen in months.

 

[doicare]

Just for sh*ts and giggles poppabk, seeing as 'aparently' a 16% increase from 87,800 to 102,000, a 24% increase from 105,000 to 130,100 and a 5% increase from 114,800 to 120,100 isn't 'good enough' to pass your t-test, what holiday sales figures would be required for the test to say that 'statistically' the wii certainly received a boost???

 

[Psychotext]

glol

 

[poppabk]

Ok seriously for the last time.
Hypothetical situation.
Imagine 3 weeks of school time, followed by 3 weeks of non-school time

Case A
wk1 100000
wk2 101000
wk3 101000
wk4 102750
wk5 102000
wk6 102000

mean school - 100667 SD - 577
mean non-school - 102250 SD - 433
% increase = 1.5%
p=0.02 = statistically significant

Case B
wk1 100000
wk2 150000
wk3 50000
wk4 100000
wk5 200000
wk6 150000

mean school - 100000 SD - 50000
mean non-school - 150000 SD - 50000
% increase = 50%
p=0.28 = not statistically significant

The percent increase means nothing without taking into account variance. In case A the difference is very small but each population is distinct. In case B the % increase is large but is not significant because the difference can be accounted for just by the variance within the two groups.

 

[BishopLamont]

Just because some statisitcal test doesn't reconise 6000, 14,000 and 25,000 increases in weekly sales doesn't change the fact that they exist. They are significant and it also doesn't take into account the last week of non-holiday and the first week of a holiday sales match what i say, and f.y.i. i've been stating that fact going all the way back to when i was comparing weekly sales on the weighted sales chart over 4 months ago, so no i'm not changing my hypothesis until i get the answer i want because i already have the answer.

Here you go again repeating the same crap when he just refuted you. Jesus Christ dude you make Sony's work with percentages amateur in comparison.

Reading doicare's replys, I don't think he has any idea what a t-test involves.

 

[doicare]

Ok seriously for the last time.
Hypothetical situation.
Imagine 3 weeks of school time, followed by 3 weeks of non-school time

Case A
wk1 100000
wk2 101000
wk3 101000
wk4 102750
wk5 102000
wk6 102000

mean school - 100667 SD - 577
mean non-school - 102250 SD - 433
% increase = 1.5%
p=0.02 = statistically significant

Case B
wk1 100000
wk2 150000
wk3 50000
wk4 100000
wk5 200000
wk6 150000

mean school - 100000 SD - 50000
mean non-school - 150000 SD - 50000
% increase = 50%
p=0.28 = not statistically significant

The percent increase means nothing without taking into account variance. In case A the difference is very small but each population is distinct. In case B the % increase is large but is not significant because the difference can be accounted for just by the variance within the two groups.

Here you go again repeating the same crap when he just refuted you. Jesus Christ dude you make Sony's work with percentages amateur in comparison.

Reading doicare's replys, I don't think he has any idea what a t-test involves.

Well there we go, the t-test says a 25% increase in sales is insignificant, well i'm glad we cleared that one up, nothing to see here folks, statistical signifcants is more important than actual significants. :lol :lol :lol

 

[Weisheit]

doicare's theory being obliterated.

Thank you poppabk, no longer must we listen to his insane ramblings...

Well there we go, the t-test says a 25% increase in sales is insignificant, well i'm glad we cleared that one up, nothing to see here folks, statistical signifcants is more important than actual significants.

Oh goodness, you're questioning ironclad statistical test?

Gosset or doicare? That's a tough one.

Spoiler

Not.

 

[Raist]

t-tests now?

WTF

Why not ANOVA while we're at it.

Ok look, the numbers are NOT statistically significant (p around 0.1)

@doicare: he just used an example to show that a 1.5% increase might be significant, while a 50% increase might not be. IT all depends on the standard deviation.

Nevertheless even if it's not significant, it doesn't mean there's not a trend.

Is there such a trend?
YES

Is such a trend logical, or totally unexpected?
Considering that a very significant proportion of the Wii audience is family etc, of course sales would tend to go up during holidays. And of course, Nintendo is smart enough to release some of its carefully targeted games in such periods.

Does everyone agree? Ok? Yes?

Fine.

Now stop with this shit and move along.



Oh and LBP kicks ass and has nice legs and Sackboy is the cutest thing ever. There.

 

[boiled goose]

This discussion is painful...
...
math>all

 

[poppabk]

t-tests now?

WTF

Why not ANOVA while we're at it.

Ok look, the numbers are NOT statistically significant (p around 0.1)

@doicare: he just used an example to show that a 1.5% increase might be significant, while a 50% increase might not be. IT all depends on the standard deviation.

Nevertheless even if it's not significant, it doesn't mean there's not a trend.

Is there such a trend?
YES

Is such a trend logical, or totally unexpected?
Considering that a very significant proportion of the Wii audience is family etc, of course sales would tend to go up during holidays. And of course, Nintendo is smart enough to release some of its carefully targeted games in such periods.

Does everyone agree? Ok? Yes?

Fine.

Now stop with this shit and move along.



Oh and LBP kicks ass and has nice legs and Sackboy is the cutest thing ever. There.

Sorry for screwing up your thread I know a lot of work goes into it, I will leave week 07 well enough alone .

 

[Raist]

It's not my baby anymore.

 

[Dash Kappei]

three days ago a massive TV ad campaign started for Layton in Italy.
First time since release but really ads are on tv every other hour (and it's again a females oriented ad), nothing compared to "La Guida In Cucina" (CookingNavi) that for what I've seen could very well represents 90% of the AD revenue for Fox/Fox Life :lol

 

[doicare]

t-tests now?

WTF

Why not ANOVA while we're at it.

Ok look, the numbers are NOT statistically significant (p around 0.1)

@doicare: he just used an example to show that a 1.5% increase might be significant, while a 50% increase might not be. IT all depends on the standard deviation.

Nevertheless even if it's not significant, it doesn't mean there's not a trend.

Is there such a trend?
YES

Is such a trend logical, or totally unexpected?
Considering that a very significant proportion of the Wii audience is family etc, of course sales would tend to go up during holidays. And of course, Nintendo is smart enough to release some of its carefully targeted games in such periods.

Does everyone agree? Ok? Yes?

Fine.

Now stop with this shit and move along.



Oh and LBP kicks ass and has nice legs and Sackboy is the cutest thing ever. There.

I'd like to say thank you raist for vouching for me, you didn't have to do that and seeming as some people have a problem listening to what i have to say hopefully they will listen to you, as one of the original creators of the pal thread.

I do understand his statistical analysis, however what i was trying to say was a staistical analysis isn't always appropriate and like you said, whilst the numbers don't make a statistical trend, never the less there is still a trend which can't be ignored.

Thank you poppabk, no longer must we listen to his insane ramblings...
Oh goodness, you're questioning ironclad statistical test?

Gosset or doicare? That's a tough one.

Spoiler

Not.

Read Raist's post, then do everybody a favour and drop it, i've proved my point and the only reason why this topic keeps coming up is every few weeks is certain posters feel the need to come into these threads and say 'hur hur what holiday is this, hur hur kids'.

 

[Parl]

Recently, my main issue was with a claim that it's proven. My view is that most of these significant variations are software driven, which is pretty much what Raist said, and thankfully, I think doicare agreed.

We won't know how much "kids being off school" matters because Nintendo has been timing releases in a way which bumps up holidays, but that there's no significant unexplainable trend relating to hardware sales and holidays, any boost by kids being out of school is likely insignificant.

 

[Weisheit]

do everybody a favour and drop it,

You should take your own advice smart guy.

 

[doicare]

Recently, my main issue was with a claim that it's proven. My view is that most of these significant variations are software driven, which is pretty much what Raist said, and thankfully, I think doicare agreed.

We won't know how much "kids being off school" matters because Nintendo has been timing releases in a way which bumps up holidays, but that there's no significant unexplainable trend relating to hardware sales and holidays, any boost by kids being out of school is likely insignificant.

In a word no, and i think we'll leave it at that.

 

[Parl]

In a word no, and i think we'll leave it at that.

Lol, fair enough.

 

[Dragon]

Hey Weisheit you're worse than doicare with your ad hominem attacks. Just quit it and grow up.

 

[BishopLamont]

Sorry wrong thread!

 

[Kenka]

No complete France charts this week ?

EDIT : God ! I've been had by your up