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Suppose that when a machine is adjusted properly, 50 percent of the items produced by it are of high quality and the other 50 percent are of medium quality. Suppose, however, that the machine is improperly adjusted during 10 percent of the time and that, under these conditions, 25 percent of the items produced by it are of high quality and 75 percent are of medium quality.

a. Suppose that five items produced by the machine at a certain time are selected at random and inspected. If four of these items are of high quality and one item is of medium quality, what is the probability that the machine was adjusted properly at that time?

b. Suppose that one additional item, which was produced by the machine at the same time as the other five items, is selected and found to be of medium quality. What is the new posterior probability that the machine was adjusted properly?

Short Answer

Expert verified

a. There is a probability of the machine was adjusted properly at the time of selecting five items is 0.989.

b. For the one additional item the new posterior probability that the machine was adjusted properly at the time is 0.984.

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Step by step solution

01

Given information

Here given that when a machine is adjusted properly then it produces 50% high quality and 50% medium quality items and usually, the machine is adjusted improperly 10% of the time and under this, it produces 25% high-quality items and 75% medium quality items.

Now five items are selected randomly at a certain time. Out of five four items are high quality and one is medium quality.

Then consider one more item which produces at the same time as the five items and it is also medium quality.

02

State the events

Let us consider,\({M_1}\)to be the event that the is properly adjusted at a certain time. And\({M_2}\)be the event that is improperly adjusted. Also consider\(H\)be the event that out of five items, four items are high-quality items.

So,

\(\Pr \left( {{M_1}} \right) = 0.9\)

\(\Pr \left( {{M_2}} \right) = 0.1\)

\(\Pr \left( {H|{M_1}} \right) = \left( {\begin{aligned}{{}{}}5\\4\end{aligned}} \right)\left( {{{0.5}^5}} \right)\)

\(\Pr \left( {H|{M_2}} \right) = \left( {\begin{aligned}{{}{}}5\\4\end{aligned}} \right)\left( {{{0.20}^4}} \right)\left( {0.75} \right)\)

03

Calculate the probability

a.

Now the probability that when we select five items randomly and out of them four are high quality and one is medium quality, the machine was in the properly adjusted mode is\(\Pr \left( {{M_1}|H} \right)\).

So,

\(\begin{aligned}{}{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}{\bf{|H}}} \right){\bf{ = }}\frac{{{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}} \right){\bf{Pr}}\left( {{\bf{H|}}{{\bf{M}}_{\bf{1}}}} \right)}}{{{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}} \right){\bf{Pr}}\left( {{\bf{H|}}{{\bf{M}}_{\bf{1}}}} \right){\bf{ + Pr}}\left( {{{\bf{M}}_{\bf{2}}}} \right){\bf{Pr}}\left( {{\bf{H|}}{{\bf{M}}_{\bf{2}}}} \right)}}\\ = \frac{{\left( {0.9} \right) \times \left( {\begin{aligned}{{}{}}5\\4\end{aligned}} \right)\left( {{{0.5}^5}} \right)}}{{\left( {0.9} \right) \times \left( {\begin{aligned}{{}{}}5\\4\end{aligned}} \right)\left( {{{0.5}^5}} \right) + \left( {0.1} \right) \times \left( {\begin{aligned}{{}{}}5\\4\end{aligned}} \right)\left( {{{0.25}^4}} \right)\left( {0.75} \right)}}\\ = 0.989\end{aligned}\)

So, we can conclude that there is a 98% chance that at that certain time the machine was properly adjusted.

04

Calculate the other probability

b.

Now consider another event G, that is a new item was selected randomly which was produced with the previously selected five items, found to be medium quality.

Therefore,\(\Pr \left( {G|{M_1}} \right) = 0.5\)

So, events\(H\)and\(G\)are conditionally independent of the events\({M_1}\)or\({M_2}\).

Now we have to find the conditional probability that for the both event\(H\)and\(G\), the machine was properly adjusted. That is,\(\Pr \left( {{M_1}|H,G} \right)\)

So,

\(\begin{aligned}{}{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}{\bf{|H,G}}} \right){\bf{ = }}\frac{{{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}{\bf{,G|H}}} \right)}}{{{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}{\bf{,G|H}}} \right){\bf{ + Pr}}\left( {{{\bf{M}}_{\bf{2}}}{\bf{,G|H}}} \right)}}\\{\bf{ = }}\frac{{{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}{\bf{|H}}} \right){\bf{Pr}}\left( {{\bf{G|}}{{\bf{M}}_{\bf{1}}}{\bf{,H}}} \right)}}{{{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}{\bf{|H}}} \right){\bf{Pr}}\left( {{\bf{G|}}{{\bf{M}}_{\bf{1}}}{\bf{,H}}} \right){\bf{ + Pr}}\left( {{{\bf{M}}_{\bf{2}}}{\bf{|H}}} \right){\bf{Pr}}\left( {{\bf{G|}}{{\bf{M}}_{\bf{2}}}{\bf{,H}}} \right)}}\\{\bf{ = }}\frac{{{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}{\bf{|H}}} \right){\bf{Pr}}\left( {{\bf{G|}}{{\bf{M}}_{\bf{1}}}} \right)}}{{{\bf{Pr}}\left( {{{\bf{M}}_{\bf{1}}}{\bf{|H}}} \right){\bf{Pr}}\left( {{\bf{G|}}{{\bf{M}}_{\bf{1}}}} \right){\bf{ + Pr}}\left( {{{\bf{M}}_{\bf{2}}}{\bf{|H}}} \right){\bf{Pr}}\left( {{\bf{G|}}{{\bf{M}}_{\bf{2}}}} \right)}}\end{aligned}\)

Therefore,

\(\begin{aligned}{}\Pr \left( {{M_1}|H,G} \right) = \frac{{0.989 \times 0.5}}{{0.989 \times 0.5 + \left( {1 - 0.989} \right) \times 0.75}}\\ = 0.9846\end{aligned}\)

Therefore, the required probability is 0.9846.

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