FAST Enterprises IC Interview Practice Test

Estimating a quantity like the number of ATMs in a city always involves some uncertainty. The method combines various inputs—growth of the city, typical ATM density per area, and how many are in banks vs. independent locations—and produces a central estimate plus a margin that reflects possible error in those inputs and in the modeling. If the central estimate is around the mid-300s and the method accounts for uncertainty, the final range tends to narrow to a window that realistically covers where the true value could lie. A final range of 350-400 indicates the method expects about three to four hundred ATMs at most, but not far below three hundred. This range fits the data-driven center while allowing for typical variation in input assumptions, making it the most plausible interval among the options.