tag me in your polls

For anyone who doesn't know, this means the remainder when you divide your age by your birth month. For example, I'm 28 and was born in December, and 12 goes into 28 twice with remainder 4, so my answer is 4!

thus the probabilities should be

answer 0 = 25.86%

answer 1 = 17.526%

answer 2 = 13.36%

answer 3 = 10.58%

answer 4 = 8.50%

answer 6 = 5.44%

answer 7 = 4.25%

answer 8 = 3.21%

answer 8 = 3.21%

answer 9 = 1.2.28%

answer 10 = 1.45%

P[N] = sum_(i=N+1)^(12) 1/(12i) = 1/12 (sum_(i=0)^(12) 1/i - sum_(i=0)^(N) 1/i) = 1/12 (H_12 - H_N) ≈ 1/12 (ln(12) - ln(N))

(H_i being the i'th harmonic number)

the approximation doesn't hold very well for small numbers like these (like, answer 5 is predicted to be 7.28% which is almost a whole % off)

bnounnies....

Center: Likely at "At"

Also, quick biology note: this is what disruptive selection looks like! obviously, the graph itself can be rearranged and the shape would not be consistent, but it IS interesting that we have modes on the two extremes, which is what happens in disruptive selection.

When I was taking bio, we thought about height as more of a bell curve shape, being polygenic as it is, so this is pretty interesting — I assume it's because, rather than numerically, we're being asked to describe height relativistically, which would be more likely to lead to a shape like this; additionally, the sample population is also probably biased lol

according to a brief google search, the standard deviation of the heights of americans is 3 inches (some listed it as 2.5 inches for women). if we round to the nearest inch, we find the following results:

for men or* for women, assuming standard deviation=3", P(<μ-.5)≈43%, P(μ±.5)≈13%, P(>μ+.5)≈43%

for women, assuming standard deviation=2.5", P(<μ-.5)≈42%, P(μ±.5)≈16%, P(>μ+.5)≈42%

I don't feel like doing an actual statistical test/hypothesis to see if our results are reasonable, but I figure that the deviation from the ideal results, if not attributable to chance, could be due to the wording of the question (i.e. it does not account for transgender or intersex people) or due to lifestyle factors more common among tumblr users.

(another google search suggested that gay people (most of tumblr's userbase) may be shorter than heterosexuals, but I didn't investigate the veracity of those papers so this may be a non-issue.)

I would reckon this data roughly fits a normal curve, so?