[Diego]

I have statistics on the convertible distribution for Mustangs and Cougars, but not colors. You'd be surprised to learn that the strongest states for convertibles were not Sun Belt but, rather, Rust Belt states.

[Gator67]

Originally Posted by squidtone

Gator,
WOW, I find that formula fascinating. What is that process called? I notice it doesn't seem to reference the actual sample size compared to the total cars built. At what point does my sample size matter less and less? What if I eventually got info on 50 percent of all 67 GTO's built...wouldn't that formula give me the same confidence numbers? Even though (in my mind) I've really got actual numbers on half the cars, and presumably better confidence in the accuracy?
Well, it'll be interesting to see how the percentages track as I collect more data. I'll keep going as long as I can.

It's just basic stuff that you can find in a college level stats textbook. I just got done teaching a PhD seminar on research methods, so it was fresh in my mind. There are other statistical approaches to the issue, but this one's straightforward. We just have to assume that the sample you have is drawn randomly from the population (81,722). it might not be true if, for example, the survival rates are higher for cars with colors preferred by older more responsible drivers. If you play with the formula with a specific color percentage, it's easy to see where the standard error levels off. With Linden Green cars, going from a sample of 100 to 300 will cut the standard error in half, approximately 4% to 2%, but you'll need a sample size 700 to get the standard error to 1%. With half the population, you'd still have a standard error of .2% (interval of about 300 cars). You might notice that you'll still have about .1% error even with the full population…this is because the formula assumes a population that is theoretical. Although I might feel uncomfortable about this remaining .1% error there would likely be errors of various sorts in the 82,000 data points, so .1% error would likely be generous.

[squidtone]

400 4spd
Sure, thanks. Send it anyway you want. If you send pix I'll transcribe and then just delete the pictures. Or if you send just text, just send the VIN, then the 2 digit color code, and the 3 or 4 digit trim code. I usually note the (usually "B") suffix if it's taken off the trim tag on the firewall.

Gator67,
Thanks for the info. For now I'm content just compiling data. As time goes on I'll keep updating and including the statistical info too.

I have to make up a spreadsheet so that it updates automatically when i add new info. Right now my spreadsheet is a bit of a mess (chart-wise).

Thanks and have a good Christmas all....


Dave

[Nicks67GTO]

I'll check mine when I get home. It was either that Sunfire Yellow or Montego Cream/ black vinyl top from the factory but I switched it to tyrol blue.....

[YNOBIL]

Dave Here's my list of cars I own, once owned, or have positive knowledge.

242177P261813; Color: F2; Trim: 219
242677P264654; Color: G2; Trim: 221
242177P298174; Color: F2; Trim: 219
242677K126223; Color: L2; Trim: 223
.................................................. ..........
I undercoated this new GTO when I worked at Kole Pontiac in 1967 / 24217K144108; Color: NN; Trim: E (taken from Kansas Plant Build Sheet)

[YNOBIL]

Dave Found another one

242677K125832; Color: F-2; Trim: 223-B

[squidtone]

Ynobil,
Got 'em. But, what do you mean by "E" on the trim code on the 5th car in your second to last reply?

[YNOBIL]

Originally Posted by squidtone

Ynobil,
Got 'em. But, what do you mean by "E" on the trim code on the 5th car in your second to last reply?

That's what the Build Sheet listed. Apparently Kansas was mainly a Chevy Plant and used Chevy Codes (Note "Chev" at the top left corner). Here's the Build Sheet.

[mountaingoat]

242177z122537...HH....224
freemont plant