An interesting problem. My first guess is that teenagers' weights distribution is two-peaked (boys & girls) but this assumes that the teenagers are around the s

An interesting problem. My first guess is that teenagers' weights distribution is two-peaked (boys & girls) but this assumes that the teenagers are around the same age and that the peaks are far enough to be detectable in the samples. I can't be arsed to check this hypothesis though :-) Anyway, a serious approach to this problem would require comparing against solid real-life data. Off the bat assumptions about distributions of real life data are often very wrong.