Presentation that explains what a continuous random variable and the difference between a probability density function and a continuous distribution function. The presentation also covers median, ...
Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take on any value between two specified values).
Use a probability density function which may be defined piecewise Use the general result E(g(x)) =∫f(x)g(x) dx where f(x) is the probability density function of the continuous random variable X and ...
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