An ice cream stand opens up at 11am on a sunny day.
How long will a customer who arrives around 6pm need to wait for the ice cream maker to begin making a cone for them?
It takes the ice cream maker on average seven minutes to make each cone, regardless of time of day.
You can assume that cone-making time is normally distributed, with a standard deviation of one minute,so a library call like [login to view URL] should do the trick.
A new customer shows up on average every seven minutes, regardless of time of day. You can assumethat arrivals are exponentially distributed, so [login to view URL] would be a good way to simulatethe length of time between each arrival.
Please run your simulation 1,001 times.
To show us your answer, please build a web page where a user can adjust the default parametersspelled out abov
that the simulated time window is seven hours,
- that cone-making time is on average seven minutes with a standard deviation of one minute,
- that arrivals are spaced on average seven minutes apart, and
- that the simulation is repeated 1,001 times);
and can then see how many minutes the final-arriving customer needs to wait for the ice cream makerto begin making their cone.
Your UI can be as simple asyou’d like it to be.
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