You observe that the distribution of weights of individuals drawn from a random sample of the United States appears bimodal; there are peaks at 130 lbs. and 165 lbs. You were under the impression that weights follow a normal distribution. Why do you think this distribution differs so much? The sample is not representative of the population. Individuals' weights better fit a uniform distribution. The standard deviation of weights is greater than the mean weight. The sample is comprised of males and females. None of the above
@perl
think about this logically, what would cause your distribution to have two bumps
2 different samples
your population is not as homogenous as you thought
2 samples means 2 modes
we are looking at one sample
lets say its a big sample, 300 adult americans (where you define adult age)
b
over 18
a uniform distribution is not a normal distribution
thats true, but thats not relevant here
when my draw button works, maybe i can graph it. but its basically two bumps
The standard deviation of weights is greater than the mean weight.
I still think a uniform ditribution is more relavent
because it specifically says a standard distribution
that is quite a contrast
"Two different samples" is no good. "Two different distributions" is what you should be thinking about.
a. the sample is not representative of the population
there would be an inconsistent missing part of the puzzle not stated in the prompt which would indicate the theory of 2 possible different distributions. Which would not be a normal distribution
Nah, Uniform is non-modal or poly-modal (infinitely many modes) The only thing missing from the problem statement is the empirical knowledge that weights of the US population ARE Bi-Modal. Why is this so?
because the standard deviation of weights is greater than the mean weight
?? Males are generally larger than females. You SHOULD find two modes in such a sample.
does that mean there is a distribution for men and one for women as well
Yup. And you just sampled from both of them - perhaps unwittingly.
Perhaps..
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