Part 1 – Section D.6. Other quantitative techniques

[Hameed]

CMA1.D6.a. identify the uses of sensitivity analysis

CMA1.D6.b. identify situations when sensitivity analysis is useful

CMA1.D6.c. perform a sensitivity analysis with different values for the probabilities of the states of nature and/or the payoffs

CMA1.D6.d. identify the benefits and shortcomings of sensitivity analysis

CMA1.D6.e. demonstrate an understanding of the uses of simulation models, including the Monte Carlo technique

CMA1.D6.f. define controllable inputs and probabilistic inputs

CMA1.D6.g. demonstrate an understanding of the simulation approach called what-if analysis

CMA1.D6.h. demonstrate an understanding of how simulations can be used to model and learn about the behavior of complex systems

CMA1.D6.i. identify the benefits and shortcomings of simulation models

CMA1.D6.j. define and identify applications of queuing theory and Markov analysis