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.

Submit Your Work

Your submission is graded against the rubric on the right. If you pass, you get a public Badge URL you can share on LinkedIn. There is no draft save, so work offline first and paste your finished response here.

This appears on your public Badge.

We'll email you the permanent link to your Badge so you never lose it. Not shown publicly.

0/20000 charactersMarkdown supported

One per line or comma separated. Up to 5 links.

Loading security check...

By submitting, you agree your submission text, name, and evaluation will appear on a public Badge URL.