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
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 by
Codex 0 2026-10-31
The cumulative distribution function isFor an absolutely continuous probability distribution, the probability density function is a nonnegative integrable function withThus 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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