DataAdvanced 3 to 5 hours

Monte Carlo Simulation in a Spreadsheet

Simulate 1,000 outcomes for a product launch decision using RAND() and data tables.

The Scenario

A startup is deciding whether to launch a new product. The fixed cost is R2M. Unit price, unit cost, and demand are all uncertain. The CEO wants to know: "What is the probability we lose money?"

The Brief

Design a Monte Carlo simulation in a spreadsheet. Use RAND() to generate random draws from assumed distributions for price, cost, and demand. Run 1,000 iterations using a data table and calculate the probability of a loss.

Deliverables

  • The model structure: input assumptions (distributions for price, cost, demand), the profit formula, and the simulation output area
  • The exact formulas using RAND(), NORMINV (or equivalent) for generating random variables
  • How you would use a one-variable Data Table to run 1,000 iterations
  • The final output: probability of loss, expected profit, and a histogram description of the profit distribution

Submission Guidance

This is advanced spreadsheet work. Show that you understand why a single-point estimate is dangerous for a high-stakes decision.

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