Question

A computer producing factory has only two plants $${T_1}$$ and $${T_2}.$$ Plant $${T_1}$$ produces 20% and plant $${T_2}$$ produces 80% of the total computers produced. 7% of computers produced in the factory turn out to be defective. It is known that $$P$$ (computer turns out to be defective given that it is produced in plant $${T_1}$$)
= 10$$P$$ (computer turns out to be defective given that it is produced in plant $${T_2}$$),
where $$P(E)$$  denotes the probability of an event $$E.$$ A computer produced in the factory is randomly selected and it does not turn out to be defective. Then the probability that it is produced in plant $${T_2}$$ is

A. $$\frac{{36}}{{73}}$$
B. $$\frac{{47}}{{79}}$$
C. $$\frac{{78}}{{93}}$$  
D. $$\frac{{75}}{{83}}$$
Answer :   $$\frac{{78}}{{93}}$$
Solution :
$$\eqalign{ & P\left( {{T_1}} \right) = \frac{{20}}{{100}},P\left( {{T_2}} \right) = \frac{{80}}{{100}},P\left( D \right) = \frac{7}{{100}} \cr & {\text{Let }}P\left( {\frac{D}{{{T_2}}}} \right) = x,\,{\text{then }}P\left( {\frac{D}{{{T_1}}}} \right) = 10x \cr & {\text{Also }}P\left( D \right) = P\left( {{T_1}} \right)P\left( {\frac{D}{{{T_1}}}} \right) + P\left( {{T_2}} \right)P\left( {\frac{D}{{{T_2}}}} \right) \cr & \Rightarrow \,\,\frac{7}{{100}} = \frac{{20}}{{100}} \times 10x + \frac{{80}}{{100}} \times x \cr & \Rightarrow \,\,\frac{7}{{280}} = x\,\,{\text{or }}x = \frac{1}{{40}} \cr & P\left( {\frac{D}{{{T_1}}}} \right) = \frac{{10}}{{40}}\,\,{\text{and }}P\left( {\frac{D}{{{T_2}}}} \right) = \frac{1}{{40}} \cr & \Rightarrow \,\,P\left( {\frac{{\overline D }}{{{T_1}}}} \right) = \frac{{30}}{{40}}\,\,{\text{and}}{\text{ }}P\left( {\frac{{\overline D }}{{{T_2}}}} \right) = \frac{{39}}{{40}} \cr & P\left( {\frac{{{T_2}}}{{\overline D }}} \right) = \frac{{P\left( {\frac{{\overline D }}{{{T_2}}}} \right)P\left( {{T_2}} \right)}}{{P\left( {\frac{{\overline D }}{{{T_1}}}} \right)P\left( {{T_1}} \right) + P\left( {\frac{{\overline D }}{{{T_2}}}} \right)P\left( {{T_2}} \right)}} \cr & = \frac{{\frac{{80}}{{100}} \times \frac{{39}}{{40}}}}{{\frac{{20}}{{100}} \times \frac{{30}}{{40}} + \frac{{80}}{{100}} \times \frac{{39}}{{40}}}} \cr & = \frac{{156}}{{186}} \cr & = \frac{{26}}{{31}} \cr & {\text{Also }}\frac{{78}}{{93}} = \frac{{26}}{{31}} \cr} $$

Releted MCQ Question on
Statistics and Probability >> Probability

Releted Question 1

Two fair dice are tossed. Let $$x$$ be the event that the first die shows an even number and $$y$$ be the event that the second die shows an odd number. The two events $$x$$ and $$y$$ are:

A. Mutually exclusive
B. Independent and mutually exclusive
C. Dependent
D. None of these
Releted Question 2

Two events $$A$$ and $$B$$ have probabilities 0.25 and 0.50 respectively. The probability that both $$A$$ and $$B$$ occur simultaneously is 0.14. Then the probability that neither $$A$$ nor $$B$$ occurs is

A. 0.39
B. 0.25
C. 0.11
D. none of these
Releted Question 3

The probability that an event $$A$$ happens in one trial of an experiment is 0.4. Three independent trials of the experiment are performed. The probability that the event $$A$$ happens at least once is

A. 0.936
B. 0.784
C. 0.904
D. none of these
Releted Question 4

If $$A$$ and $$B$$ are two events such that $$P(A) > 0,$$   and $$P\left( B \right) \ne 1,$$   then $$P\left( {\frac{{\overline A }}{{\overline B }}} \right)$$  is equal to
(Here $$\overline A$$ and $$\overline B$$ are complements of $$A$$ and $$B$$ respectively).

A. $$1 - P\left( {\frac{A}{B}} \right)$$
B. $$1 - P\left( {\frac{{\overline A }}{B}} \right)$$
C. $$\frac{{1 - P\left( {A \cup B} \right)}}{{P\left( {\overline B } \right)}}$$
D. $$\frac{{P\left( {\overline A } \right)}}{{P\left( {\overline B } \right)}}$$

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Probability


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