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Probability Test - 42

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Probability Test - 42
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  • Question 1
    1 / -0
    If $$\dfrac{1+4p}{p},\dfrac{1-p}{4}, \dfrac{1-2p}{2}$$ are propabilities of three mutually exclusive events, then-
    Solution

  • Question 2
    1 / -0
    If $$P(A)=\dfrac{1}{2}$$, $$P(B)=\dfrac{3}{8}$$ and $$P(A\cap B)=\dfrac{1}{5}$$ then P(B|A) is equal tp:
    Solution
    Given:-
    $$P{\left( A \right)} = \cfrac{1}{2}$$
    $$P{\left( B \right)} = \cfrac{3}{8}$$
    $$P{\left( A \cap B \right)} = \cfrac{1}{5}$$
    As we know that,
    $$P{\left( B | A \right)} = \cfrac{P{\left( B \cap A \right)}}{P{\left( A \right)}}$$
    $$\therefore P{\left( B | A \right)} = \cfrac{\left( \cfrac{1}{5} \right)}{\left( \cfrac{1}{2} \right)}$$
    $$\Rightarrow P{\left( B | A \right)} = \cfrac{2}{5}$$
    Hence the correct answer is $$\cfrac{2}{5}$$.
  • Question 3
    1 / -0
    For the probability distribution given by $$\left.\begin{matrix} X=x_i & 0 \\ P. & \dfrac{25}{36}\end{matrix}\right|$$ $$\begin{matrix} 1 \\ 5 \\ 18\end{matrix}$$ $$\begin{vmatrix} 2 \\ 1 \\ 36\end{vmatrix}$$ the standard deviation $$(\sigma)$$ is?
    Solution
    $$M^2+\sigma^2=\sum x^2_iP(x=x_i)$$

    $$M=\sum x_iP(x=x_i)=\dfrac{5}{18}+\dfrac{2}{36}=\dfrac{6}{18}=\dfrac{1}{3}$$

    $$\therefore\dfrac{1}{9}+\sigma^2=\dfrac{5}{18}+\dfrac{4}{36}=\dfrac{7}{18}$$

    $$\therefore \sigma^2=\dfrac{7}{18}-\dfrac{2}{18}=\dfrac{5}{18}$$

    $$\therefore S.D=\dfrac{1}{3}\sqrt{\dfrac{5}{2}}$$.

  • Question 4
    1 / -0
    The probability of happening of an event A is $$0.5$$ and that of B is $$0.3$$. If A and B are mutually exclusive events, then the probability of neither A nor B is?
    Solution
    $$P(A)=0.5$$; $$P(B)=0.3$$

    $$\therefore P(\bar{A}\cap\bar{B})=1-P(A\cup B)=1-[P(A)+P(B)]$$      $$[\because\ P(A\cap B)=\phi $$ as they are mutually exclusive events $$]$$ 

                                                         $$=1-[0.5+0.3]$$  

                                                         $$=0.2$$  
  • Question 5
    1 / -0
    Given that $$A \subset B$$, then identify the correct statement 
    Solution
    $$A \subset B$$
    $$P (A/B) = \dfrac{P(A \cap B)}{P (B)} = \dfrac{P (A)}{P(B)} \neq P(A)$$ (always)
    $$P(A/B) = \dfrac{P(A)}{P(B)} \ge P(A)$$
  • Question 6
    1 / -0
    The number of committees formed by taking $$5men$$ and $$5women$$ from $$6women$$ and $$7men$$ are
    Solution

  • Question 7
    1 / -0
    Probability of hitting a target independently of $$4$$ persons are $$\dfrac{1}{2}, \dfrac{1}{3}, \dfrac{1}{4}, \dfrac{1}{8}$$. Then the probability that target is hit, is?
    Solution
    $$P(H)=1-P$$(Not Hitting)
    $$=1-\dfrac{1}{2}\cdot \dfrac{2}{3}\cdot \dfrac{3}{4}\cdot \dfrac{7}{8}=\dfrac{25}{32}$$.
  • Question 8
    1 / -0
    A coin is rolled n times. If the probability of getting head at least once is greater than $$90\%$$ then the minimum value of n is?
    Solution
    $$1-\dfrac{1}{2^n} > \dfrac{9}{10}\Rightarrow \dfrac{1}{10} > \dfrac{1}{2^n}\Rightarrow 2^n > 10$$
    $$\therefore$$ minimum value of n is $$4$$.
  • Question 9
    1 / -0
    Assume that each born child is equally likely to be a boy or a girl. If two families have two children each, then the conditional probability that all children are girls given that at least two are girls is:
    Solution
    $$P(B) = P(G) = \dfrac{1}{2}$$
    Required Probability $$= \dfrac{\text{all 4 girls}}{\text{(all 4 girls) + (exactly 3 giels + 1 boy) + (exactly 2 girls + 2 boys)}}$$

    $$= \dfrac{\left(\dfrac{1}{2}\right)^4}{\left(\dfrac{1}{2}\right)^4 + {^4C_3} \left(\dfrac{1}{2}\right)^4 + {^4C_2} \left(\dfrac{1}{2}\right)^4} = \dfrac{1}{11}$$
  • Question 10
    1 / -0
    A problem in mathematics is given to $$4$$ students whose chances of solving individually are $$\dfrac{1}{2}, \dfrac{1}{3}, \dfrac{1}{4}$$ and $$\dfrac{1}{5}$$. The probability that the problem will be solved at least by one student is?
    Solution
    Given $$P(A)=\dfrac 12,P(A^C)=\dfrac 12$$

    $$P(B)=\dfrac 13,P(B^C)=\dfrac 23$$

    $$P(C)=\dfrac 14,P(C^C)=\dfrac 34$$

    $$P(D)=\dfrac 15,P(D^C)=\dfrac 45$$

    $$P(A\cup B\cup C\cup D)=1-P(A^C\cap B^C\cap C^C\cap D^C)$$

    $$=1-P(A^C)\cdot P(B^C)\cdot P(C^C)\cdot P(D^C)$$

    $$=1-\dfrac{1}{2}\times \dfrac{2}{3}\times \dfrac{3}{4}\times \dfrac{4}{5}$$

    $$=1-\dfrac{1}{5}=\dfrac{4}{5}$$.
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