Quote
Originally posted by secjay
I am apparantly 1 in 500. What are you basing your numbers on M?
Secjay-
I’m basing the numbers from cummulative percentile distributions I’ve seen on the internet.
I’ve quickly pulled one up for you, and while this one is for advertising purposes for some scam site, lol… it is the data from kinsey. In fact the kinsey data was a bit higher than others, so this is being on the safe size that you’re 1/500.
Going along the 1/500 zone…
—————-Length————Girth————Asumming no Corr——-if highly correlated
7 by 6.8 - -1/12————1/1000——————-1/12000———————~1/1200
7.6 x 6.6 - 1/35————-1/400——————- 1/14000——————— ~1/700
8 x 6.4 - —-1/56————-1/200——————- 1/11200———————-~1/500
8.6 x 6.2 - 1/165————1/85———————- 1/16500———————~1/500
9 x 6 - ——1/1000———-1/25 ———————- 1/25000——————- ~1/1400
9.6 x 5.8 - 1/1000+——-1/20————————1/40000——————— ~1/2500
Obviously there is a correlation between length and girth, but not perfect. If I had a set of non PE data that included each individuals length and girth, I could tell you what the value is then run the stuff through minitab and be as exact as the data allowed me to do. For now, this is about the best explanation I can give you Secjay. We all have to keep in mind that 1/500 for the general public is probably about 1/50 ‘round here. :)
Any other questions: feel free to ask, I’m putting off cleaning my place today.
~m7