# How do I display a histogram with normalized counts?

I have some data corresponding to real number distances: {200.04053, 200.232123, 156.3242,...}, and I would like to bin these values and display them as a histogram where the heights of each bar in the histogram are normalized so that the sum of all the bin heights is equal to one. The objective here is for me to be able to use FindDistributionParameters to determine, well, appropriate distribution parameters, and then to overlay the PDF of this suggested distribution on my actual data. Is there an easy way to do this?

-

Add the argument "Probability" to the Histogram command. To be precise, if list is your list of data, then
Histogram[list,Automatic,"Probability"]

should do the trick. The Automatic argument specifies the bin size.
E.g. ::: Show[Histogram[DATA, Automatic, "Probability"], Plot[PDF[InverseGaussianDistribution[30.11455031212564, 17898.020946792625], x], {x, 25, 50}, Filling -> Axis, PlotRange -> All]] (I'm not claiming that this is the right distribution) – Telomer Apr 15 '13 at 2:26