This is a video lecture on CONTINUOUS RANDOM VARIABLES, PROBABILITY DENSITY FUNCTIONS and CUMULATIVE DISTRIBUTION FUNCTIONS. Three examples are used to illustrate a Probability Density Function which is used in computing probabilities for a continuous random variable. Relationships between Probability Density Functions (PDF) and Cumulative Distribution Functions (CDF) were explained using two examples. Furthermore, determination of probabilities for Continuous Random Variables using the CDF method were also discussed here.
https://www.youtube.com/channel/UCImPMlV68VGfv0XH4uEe4bQ
RANDOM VARIABLESCONTINUOUS RANDOM VARIABLESPROBABILITY FUNCTIONS
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