How are the results of a Monte Carlo simulation analyzed? Monte Carlo simulation results are analyzed using descriptive statistics, such as the mean, standard deviation, and graphs of simulation results. Monte Carlo simulation results are not analyzed. The results of Monte Carlo simulation speak for themselves. Monte Carlo simulation results are analyzed using measures of forecast accuracy, such as the mean square error or mean absolute deviation. O Monte Carlo simulation results are analyzed by using Excel's Solver add-in to solve for the optimal solution.

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
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ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter4: Writing Linear Equations
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How are the results of a Monte Carlo simulation analyzed?
O Monte Carlo simulation results are analyzed using descriptive statistics, such as
the mean, standard deviation, and graphs of simulation results.
Monte Carlo simulation results are not analyzed. The results of Monte Carlo
simulation speak for themselves.
Monte Carlo simulation results are analyzed using measures of forecast
accuracy, such as the mean square error or mean absolute deviation.
Monte Carlo simulation results are analyzed by using Excel's Solver add-in
solve for the optimal solution.
Transcribed Image Text:How are the results of a Monte Carlo simulation analyzed? O Monte Carlo simulation results are analyzed using descriptive statistics, such as the mean, standard deviation, and graphs of simulation results. Monte Carlo simulation results are not analyzed. The results of Monte Carlo simulation speak for themselves. Monte Carlo simulation results are analyzed using measures of forecast accuracy, such as the mean square error or mean absolute deviation. Monte Carlo simulation results are analyzed by using Excel's Solver add-in solve for the optimal solution.
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