>>> hist?
...
Docstring:
    HIST(x, bins=10, normed=0, bottom=0,
         align='edge', orientation='vertical', width=None, **kwargs)
    Compute the histogram of x.  bins is either an integer number of
    bins or a sequence giving the bins.  x are the data to be binned.
    The return values is (n, bins, patches)
    If normed is true, the first element of the return tuple will
    be the counts normalized to form a probability density, ie,
    n/(len(x)*dbin)
    align = 'edge' | 'center'.  Interprets bins either as edge
    or center values
    orientation = 'horizontal' | 'vertical'.  If horizontal, barh
    will be used and the "bottom" kwarg will be the left edges.
    width: the width of the bars.  If None, automatically compute
    the width.
    kwargs are used to update the properties of the
    hist bars

In your example, len(x)=52, and dbins=bin[1]-bin[0]=4.4666666666667, which 
gives:
n.sum() * dbins = 1

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