{"id":47334,"date":"2025-11-19T14:06:02","date_gmt":"2025-11-19T14:06:02","guid":{"rendered":"https:\/\/certifeka-edu.com\/programs\/finance-for-strategic-managers-accounting-professional-certificate-3\/lessons\/lesson-2-monte-carlo-analysis-3\/"},"modified":"2025-11-19T14:06:02","modified_gmt":"2025-11-19T14:06:02","slug":"lesson-2-monte-carlo-analysis-3","status":"publish","type":"lesson","link":"https:\/\/certifeka-edu.com\/ar\/programs\/finance-for-strategic-managers-accounting-module\/lessons\/lesson-2-monte-carlo-analysis-3\/","title":{"rendered":"Lesson 2: Monte Carlo analysis"},"content":{"rendered":"

\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/p>\n

Lesson 2: Understanding Business Risk
\n<\/h2>\n

Monte Carlo analysis:<\/h3>\n

This is useful when we are making a decision under conditions of uncertainty, because it provides a probability associated with the desired result.<\/h5>\n
It is based on the following mathematical simulation model:<\/h5>\n
f(x) = f(x1) + f(x2) + f(x3) …, where:<\/h5>\n
f(x) is the dependent variable, the end result;<\/h5>\n
x1, x2, x3, etc. are the independent variables, or factors affecting the end result.<\/h5>\n
For each independent variable, we can establish a range of possible values and the probability within that range.<\/h5>\n
Then, we can calculate the range, and the probability distribution within the range, for the end result, by entering the ranges and the probabilities for each independent variable and choosing one value and its probability per iteration, for each independent variable, literally thousands of times.<\/h5>\n
In simpler terms, we can calculate the probability of completing a project prior to a certain date by using the schedule network as the simulation model and entering activity durations as a range of values and probabilities.<\/h5>\n
Similar results can be obtained for project cost estimates.<\/h5>\n
Because of the large number of:<\/h5>\n
iterations, independent variables, their values and the value probabilities, the Monte Carlo simulation is virtually impossible without computers with substantial CPUs.
These have become available only in the last 10-15 years and we are seeing more and more use of this method of decision making<\/h5>","protected":false},"comment_status":"open","ping_status":"closed","template":"","class_list":["post-47334","lesson","type-lesson","status-publish","hentry"],"yoast_head":"\nLesson 2: Monte Carlo analysis - Certifeka-edu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/certifeka-edu.com\/ar\/programs\/finance-for-strategic-managers-accounting-module\/lessons\/lesson-2-monte-carlo-analysis-3\/\" \/>\n<meta property=\"og:locale\" content=\"ar_AR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lesson 2: Monte Carlo analysis - Certifeka-edu\" \/>\n<meta property=\"og:description\" content=\"Lesson 2: Understanding Business Risk Monte Carlo analysis: This is useful when we are making a decision under conditions of uncertainty, because it provides a probability associated with the desired result. 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