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Cumulative distribution function. While the PDF gives the probability density of each value of a random variable, the CDF (often denoted $F(x)$) gives the probability that the random variable will be less than or equal to a specified value.
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Kolmogorov Smirnov Test : CDF vs PDF
The kernel density of probabilistic function would be hard to interpret, the width of each individual Dirac can change, that is why cumulative distribution is chosen which gives a wholistic picture ab …