: The median of a distribution is that variate-value which divides the
: distribution halfway, i.e. 1/2 of the distribution (population) have
: lower and half have higher variate-values.

: So for Males 20-39 the median=7.3, this means that half of these men
: are higher than this and half are lower than this.  Now if the population
: sample size is 3300, and 1% of them are gay, 33 males are gay.  If we
: say they are distributed equally then only 16.5 are greater than 7.3
: sexual partners, of course, this means that 49.5% heterosexual men are
: greater than 7.3.

Not quite.  First, the median does not imply that half of the men are
above and half below 7.3: it simply means that 7.3 is the mid-point
between the maximum number of partners and the minimum (which is most
likely zero).  However, assuming your implication to be more-or-less
correct, your final result is still invalid.  If 50% of *all* males
have had more than 7.3 partners, and you deduct the assumed 1% of 
homosexual males, what remains is not 49.5%, but still *50%* of all
*heterosexual* males.  Which is to say: hey, we're all human.