Question

In four schools $${B_1},\,{B_2},\,{B_3},\,{B_4}$$    the percentage of girls students is $$12,\,20,\,13,\,17$$    respectively. From a school selected at random, one student is picked up at random and it is found that the student is a girl. The probability that the school selected is $${B_2},$$  is :

A. $$\frac{6}{{31}}$$
B. $$\frac{{10}}{{31}}$$  
C. $$\frac{{13}}{{62}}$$
D. $$\frac{{17}}{{62}}$$
Answer :   $$\frac{{10}}{{31}}$$
Solution :
Total number of students in four schools $$ = 12 + 20 + 13 + 17 = 62$$
Now, one student is selected at random.
$$\therefore $$  Total outcomes $$ = {}^{62}{C_1}$$
Now, number of students in school $${B_2} = 20$$
Number of ways to select a student from $${B_2} = {}^{20}{C_1}$$
$$\therefore $$  Required probability $$ = \frac{{{}^{20}{C_1}}}{{{}^{62}{C_1}}} = \frac{{20}}{{62}} = \frac{{10}}{{31}}$$

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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