A certain fast-food chain sells cheeseburger. On a typical weekday, the demand for these burgers can be approximated by a normal distribution with the mean of 313 burgers and a standard deviation of 57 burgers. If the fast-food chain has a stock of 400 burgers, what is the probability that it will run out of burgers on that day
The probability of run out of burgers on single day is:
P(x > 400) = P(z > 400)
= P[z > (400 - 313) / 57]
= P[z > (87 / 57)]
= P(z > 1.53)
From normal standard table values, we find that:
P = 0.063 or 6.63%
This means there is 6.63% probability that fast food chain will run out of burgers on a single day when stick is 400.
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