The discrete uniform distribution is also known as the "equally likely outcomes" distribution. Letting a set have
elements, each of them having the same probability, then
(1)
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(2)
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(3)
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(4)
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so using
gives
(5)
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Restricting the set to the set of positive integers 1, 2, ...,
, the probability distribution function and cumulative distributions
function for this discrete uniform distribution are therefore
(6)
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(7)
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for ,
...,
.
The discrete uniform distribution is implemented in the Wolfram Language as DiscreteUniformDistribution[n].
Its moment-generating function is
(8)
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(9)
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(10)
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(11)
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The moments about 0 are
(12)
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so
(13)
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(14)
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(15)
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(16)
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and the moments about the mean are
(17)
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(18)
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(19)
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The mean, variance, skewness, and kurtosis excess are
(20)
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(21)
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(22)
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(23)
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The mean deviation for a uniform distribution on
elements is given by
(24)
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To do the sum, consider separately the cases of odd and
even. For
odd,
(25)
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(26)
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(27)
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(28)
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Similarly, for even,
(29)
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(30)
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(31)
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(32)
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The complete solution is therefore
(33)
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For ,
2, ..., the first few values are 0, 1/2, 2/3, 1, 6/5, 3/2, 12/7, ... (OEIS A086111
and A086112).