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Basic Excel Business Analytics #66: Monte Carlo Simulation for New Product, 3 Uncertain Variables
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Excel Business Analytics Free Course - Forecasting, Linear Programming, Simulation & more. - Basic Excel Business Analytics #66: Monte Carlo Simulation for New Product, 3 Uncertain Variables

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  • 19.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Download files: https://people.highline.edu/mgirvin/AllClasses/348/348/AllFilesBI348Analytics.htm Learn how to create a Monte Carlo Simulation for a New Product Profitability based on three Random / Uncertain Variables. Direct Labor Cost Random Variable is based on a Relative Frequency Distribution based on past Accounting Data. The Direct Material Random Variable is based on a Uniform Distribution. The Demand Random Variable is based on a Normally Distributed Random Variable. 1) (00:13) Problem and variable introduction. 2) (04:38) Create Randomizing formula for Direct Labor Cost Random Variable is based on a Relative Frequency Distribution based on past Accounting Data. Use the RAND and LOOKUP Functions. 3) (07:50) Create Randomizing formula for Direct Material Random Variable is based on a Uniform Distribution. See the RANDBETWEEN function. 4) (08:48) Create Randomizing formula for Demand Random Variable is based on a Normally Distributed Random Variable. Use the RAND, NORM.INV, ROUND, and MAX functions. 5) (10:53) Create Profit Formula with Static and Uncertain Variables (Set and Random Variables). 6) (11:37) Create Simulation with the Data Table feature and an Empty Cell for the Column Input. 7) (13:40) Perform Analysis including creating a Relative Frequency Distribution to calculate Estimated Probabilities to aid in Decision Making. Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.

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