Solution

ID: past-exam-of-the-year-1-of-the-computer-science-course-of-the-university-of-oxford/2016/discrete-mathematics-continuous-mathematics-and-probability-resit/9/a/i/solution

The cumulative distribution function is
For an absolutely continuous probability distribution, the probability density function is a nonnegative integrable function with
Thus interval probabilities are integrals of , and almost everywhere, in particular at continuity points of .
The word “continuous” in the source is understood in this density sense. A merely continuous cumulative distribution function need not possess a probability density function; it can instead describe a singular continuous distribution.

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