A manufacturing company employs two inspecting devices to sample a fraction of their output for quality control purposes. The first inspection monitor is able to accurately detect 99.5% of the defective items it receives, whereas the second is able to do so in 99.7% of the cases. Assume that four defective items are produced and sent out for inspection. Let X and Y denote the number of items that will be identified as defective by inspecting devices 1 and 2, respectively. Assume the devices are independent. Determine (a) the range of the joint probability distribution of X and Y. (b) fxy(x, y). (c) fx(x). (d) E(X). e) fyx=3(y).

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Chapter1: Combinatorial Analysis
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A manufacturing company employs two inspecting devices to sample a
fraction of their output for quality control purposes. The first inspection monitor is
able to accurately detect 99.5% of the defective items it receives, whereas the second
is able to do so in 99.7% of the cases. Assume that four defective items are produced
and sent out for inspection. Let X and Y denote the number of items that will be
identified as defective by inspecting devices 1 and 2, respectively. Assume the devices
are independent. Determine
(a) the range of the joint probability distribution of X and Y.
(b) fxy(*, y).
(c) fx(x).
(d) E(X).
e) fy|x=3(y).
Transcribed Image Text:A manufacturing company employs two inspecting devices to sample a fraction of their output for quality control purposes. The first inspection monitor is able to accurately detect 99.5% of the defective items it receives, whereas the second is able to do so in 99.7% of the cases. Assume that four defective items are produced and sent out for inspection. Let X and Y denote the number of items that will be identified as defective by inspecting devices 1 and 2, respectively. Assume the devices are independent. Determine (a) the range of the joint probability distribution of X and Y. (b) fxy(*, y). (c) fx(x). (d) E(X). e) fy|x=3(y).
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