Random Values Practice Test

A weather app prototype generates a random daily temperature between 50–85°F and random rain chance for practice testing. Randomness is necessary because real weather changes and cannot be perfectly known ahead of time. Some simulated weeks show several rainy days, while others show none at all. The student uses these varied results to test how the display handles different forecasts. Based on the scenario above, what could be a potential outcome if random values were not used in this simulation?

A Monte Carlo program estimates how long a battery-powered sensor might last by sampling random daily usage levels. Randomness is needed because real usage changes depending on activity and cannot be fixed. One set of samples may show light use and long life, while another shows heavy use and early failure. The program runs many trials to see how often each result happens. In the context of the problem, what is the role of randomness in this application?