You are fitting a finite uniform random distribution as-if it were a Normal distribution -- which is an infinite distribution.
Then you expect the cumulative distribution over the finite sample to be exactly equal to 1.
But we know that cdf from -infinity to +infinity is 1 for Normal distribution, and in the best possible case, if the uniform random values just happened to look normal over the interval, we would expect that the cdf for the interval would be equal to the cdf from -infinity to the upper bound, minus the cdf from -infinity to the lower bound. The only time the result could be 1 would be if the upper bound of the interval was +infinity and the lower bound was -infinity... but your upper bound is 8 and your lower bound is 5.
You should not expect cdf of 1 for this situation.
