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  • Provide solution for RD Sharma maths class 12 chapter Probability exercise 30.7 question 34

Provide solution for RD Sharma maths class 12 chapter Probability exercise 30.7 question 34

Answers (1)

Answer:

 D1

Hint:

 Use baye’s theorem.

Given:

 1800 had disease d1 , 2100 has disease d2 , and the other disease d3.1500 patient with disease d1, 1200 disease d3 is 900.  

Solution:

Let  A, E1,E2,E3  denote the events that the patient show symptom patient has disease d1 , has disease d2  and has disease d3 , respectively.

\begin{aligned} &P(E_1)=\frac{1800}{5000}\\ &P(E_2)=\frac{2100}{5000}\\ &P(E_3)=\frac{1100}{5000}\\ \end{aligned}

Now,

\begin{aligned} &P\left ( \frac{A}{E_1} \right )=\frac{1500}{1800}\\ &P\left ( \frac{A}{E_2} \right )=\frac{1200}{2100}\\ &P\left ( \frac{A}{E_3} \right )=\frac{9000}{1100}\\ \end{aligned}

Using Baye’s theorem we get

Required probability

\begin{aligned} &P\left (\frac{E_1}{A} \right )=\frac{P(E_1).P\left ( \frac{A}{E_1} \right )}{P(E_1)\times P\left ( \frac{A}{E_1} \right )+P(E_2)\times P\left ( \frac{A}{E_2} \right )+P(E_3)\times P\left ( \frac{A}{E_3} \right )}\\ &=\frac{{\frac{1800}{5000}\times \frac{1500}{1800} }}{\frac{1800}{5000}\times \frac{1500}{1800}+\frac{2100}{5000}\times \frac{1200}{2100}+\frac{1100}{5000}\times \frac{9000}{1100}}\\ &=\frac{15}{15+12+9}\\ &=\frac{15}{12} \end{aligned}

Required probability

\begin{aligned} &P\left (\frac{E_2}{A} \right )=\frac{P(E_2).P\left ( \frac{A}{E_2} \right )}{P(E_1)\times P\left ( \frac{A}{E_1} \right )+P(E_2)\times P\left ( \frac{A}{E_2} \right )+P(E_3)\times P\left ( \frac{A}{E_3} \right )}\\ &=\frac{{\frac{2100}{5000}\times \frac{1200}{2100} }}{\frac{1800}{5000}\times \frac{1500}{1800}+\frac{2100}{5000}\times \frac{1200}{2100}+\frac{1100}{5000}\times \frac{9000}{1100}}\\ &=\frac{12}{15+12+9}\\ &=\frac{12}{36} \end{aligned}

Required probability

\begin{aligned} &P\left (\frac{E_3}{A} \right )=\frac{P(E_3).P\left ( \frac{A}{E_3} \right )}{P(E_1)\times P\left ( \frac{A}{E_1} \right )+P(E_2)\times P\left ( \frac{A}{E_2} \right )+P(E_3)\times P\left ( \frac{A}{E_3} \right )}\\ &=\frac{{\frac{1100}{5000}\times \frac{9000}{1100} }}{\frac{1800}{5000}\times \frac{1500}{1800}+\frac{2100}{5000}\times \frac{1200}{2100}+\frac{1100}{5000}\times \frac{9000}{1100}}\\ &=\frac{9}{15+12+9}\\ &=\frac{9}{36}\\ &=\frac{1}{4} \end{aligned}

As

\begin{aligned} &P\left (\frac{E_1}{A} \right ) \end{aligned}

is maximum, so, it is most likely that the person suffer from the disease d1.

Posted by

Gurleen Kaur

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