Day 51: Joint Cumulative Distribution Function

As promised, today we are going to talk about two random variables that are not independent. This means that the individual probabilities don’t sum to be equal to the joint probability (like they did yesterday). Like our normal CDF, we can find a CDF for two random variables, but let’s take a look at how this works.*

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October 9, 2019 | Categories: 365 Days of Academia - Year one | Tags: cumulative distribution function, Education, expected value, Function of random variables, joint CDF, Math, mathematics, moments, probability, probability density function, random variables, statistics, two random variables | Leave a comment