The probability density function of a continuous random variable is the counterpart to the probability mass function of a discrete random variable.
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Q1: The exponential distribution is related to the
Q3: The letter Z is used to denote
Q4: Just as in the case of the
Q5: According the empirical rule for normally distributed
Q6: Examples of random variables that closely follow
Q7: We are often interested in finding the
Q8: Cumulative distribution functions can only be used
Q9: The mean of a continuous uniform distribution
Q10: A continuous random variable is characterized by
Q11: The continuous uniform distribution describes a random
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