CommonProbDistribution

CommonProbDistribution - Common Probability Distributions...

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44e0e0de7a3f26486a97ddcff5073296a917705d.xlsx ProbDist Page 1 Common Probability Distributions Uniform distribution Characteristics Continuous Symmetric Bounded in both directions Not necessarily positive (depends on bounds) This is a flat distribution between two values, labeled here MinVal and MaxVal. Note that if MinVal=0 and MaxVal=1, then we can just use Excel's RAND function. Parameters MinVal 50 MaxVal 100 Excel Example =MinVal + (MaxVal-MinVal)*RAND() 89.156784 @Risk =RiskUniform(MinVal,MaxVal) #NAME? General discrete distribution Characteristics Discrete Can be symmetric or skewed (or bumpy, i.e., basically any shape) Bounded in both directions Not necessarily positive (depends on possible values) This can have any shape, depending on the list of possible values and their probabilities. Parameters Lookup table Values Prob. CumProb Value 10 0.1 0 10 15 0.3 0.1 15 20 0.4 0.4 20 25 0.2 0.8 25 Excel Example =VLOOKUP(RAND(),LookupTable,2) 25 @Risk =RiskDiscrete(Values,Probs) #NAME?
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