A probability distribution is continuous if its possible values fall along some continuum.
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Q2: The "random" numbers generated by the RAND
Q3: When determining the most appropriate input probability
Q4: The normal distribution is often used in
Q5: If we want to model a random
Q6: A discrete distribution is useful for many
Q7: A random number from a binomial distribution
Q8: @RISK introduces uncertainty explicitly into a spreadsheet
Q9: We typically choose between a symmetric and
Q10: The flaw of averages is the reason
Q11: A probability distribution is bounded if there
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