The production manager at a local manufacturing plant is concerned about work
stoppages in the four production lines. In particular, the manager is evaluating
the likelihood of the next stoppage occurring on production line 1.
1. Based on previous stoppage records, the manager figures that the probability
that production line 1 is stopped next is 25%. This is an example
of:
(a) Bayesian probability
(b) relative frequency probability
(c) subjective probability
(d) classical probability

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