Estimation question

Estimate the number of Tesla Model3s in California.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Estimation combining national sales data, market share by state, and vehicle survival rate over time.

Estimate cumulative Model 3 units sold in the US since launch, for example a few million units.
Estimate California's share of US EV sales, disproportionately large, for example around 25 to 30 percent.
Apply that share to the US total to estimate California's cumulative sales.
Adjust down slightly for vehicles resold out of state or retired, though this is a small effect for a relatively recent model.
State the final estimate as a range with the key assumption, California's EV market share, called out.

Uses a real anchor, California accounting for roughly a quarter to a third of US EV registrations, to weight the estimate realistically.
Shows the calculation, for example 2 million US Model 3s times 28 percent gives roughly 560,000 vehicles.
Names the biggest source of error, uncertainty in the national cumulative sales figure, and states the answer as a range.

Ignoring that California has disproportionately high EV adoption compared to other states.
Giving one precise number with no visible math.
Not stating any assumption about total national sales volume.

How would you refine this estimate using DMV registration data?
How does this estimate change if you only count vehicles still on the road today?