New employees at a fast food restaurant have to learn to perform their tasks while serving customers, so they are likely to serve orders with an error. For a new employee, the probability of making an error while serving the order is 15%, while for an experienced employee the probability of making an error while serving is 3%. Suppose the restaurant is in an employee recruitment campaign, which is why 30% of employees at any time of day are new. Also presume that the orders to be dispatched are randomly distributed among the employees.
What is the probability that a random order will be dispatched
in error?
If you receive your order and it contains an error, what is the
probability that it was dispatched by a new employee?
What is the probability that the order will be filled by a new
employee and contain no errors?
Contingency table based on the information:
Data | Distribution | Error | No error | Orders with error | No error |
New emp | 0.30 | 0.15 | 0.85 | 0.0450 | 0.2550 |
Exp emp | 0.70 | 0.03 | 0.97 | 0.0210 | 0.6790 |
total | 1.00 | - | - | 0.0660 | 0.9340 |
(1) P(with error) = 0.30 * 0.15 + 0.70 * 0.03 = 0.0450 + 0.0210
P(without error) = 0.0660
(2) P(new employee / order with error) = P(new employee and order with error)/ P(order with error)
P(new employee / order with error) = 0.0450 / 0.0660
P(new employee / order with error) = 0.6818
(3) P(new employee and no error) = 0.30 * 0.85 = 0.2550
P(new employee and no error) = 0.2550
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