Statistics Glossary - random variables and probability distributions

F(x) does not change at intermediate values. For example: F(1.3) = F(1) = 6/32 F(2.86) = F(2) = 16/32 Probability Density Function The probability density function of a continuous random variable is a function which can be integrated to obtain the probabi

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