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Probability Test - 16

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Probability Test - 16
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  • Question 1
    1 / -0
    A box contains 3 white and 2 black balls. Two balls are drawn at random one after the other. If the balls are not replaced. what is the probability that both the balls are black ?
    Solution
    Probabilty of drawing black in the first draw$$ =\cfrac {\text{total black balls} }{ \text{total balls} }  =\cfrac { 2 }{ 5 }$$ 
    Probability of drawing black in the second draw $$ =\cfrac { 1 }{ 4 } $$
    Probability that both balls are black $$=$$ Probability of first ball being black $$\times $$ Probability of second ball being black 
    $$=\cfrac { 2 }{ 5 } \times \cfrac { 1 }{ 4 } \\ =\cfrac { 1 }{ 10 } $$
  • Question 2
    1 / -0
    Two events A and B will be independent if
    Solution
    Two events A & B will be independent if
    $$P\left( A\cap { B }  \right) =P\left( A \right) \cap { P\left( B \right)  } $$
    If A & B are independent, then $${ A }^{ ' }\& \ { B }^{ ' }$$ are also independent
    $$\therefore P\left( { A }^{ ' }\cap { { B }^{ ' } }  \right) =P\left( { A }^{ ' } \right) P\left( { B }^{ ' } \right) $$
    $$=\left( 1-P(A) \right) \left( 1-P(B) \right) $$
  • Question 3
    1 / -0
    The probability distribution of a discrete random variable $$X$$ is:
    $$X = x$$$$1$$$$2$$$$3$$$$4$$$$5$$
    $$P(X = x)$$$$k$$$$2k$$$$3k$$$$4k$$$$5k$$
    Find $$P (X\leq 4)$$
    Solution
    Here, we must have $$k + 2k + 3k + 4k + 5k = 1$$
    $$\Rightarrow 15k = 1$$
    $$\Rightarrow k = \dfrac {1}{15}$$
    Now, $$P(X \leq 4) = k + 2k + 3k + 4k$$
    $$= \dfrac {1}{15} + \dfrac {2}{15} + \dfrac {3}{15} + \dfrac {4}{15}$$
    $$= \dfrac {10}{15}$$
    $$\therefore P(X\leq 4) = \dfrac {2}{3}$$
  • Question 4
    1 / -0
    An urn contains $$5$$ red and $$2$$ black balls. Two balls are randomly drawn. Let $$X$$ represent the number of black balls. What are the possible values of $$X$$ ? Is $$X$$ a random variable ?
    Solution
    The two balls selected can be represented as $$BB,  BR,  RB,  RR$$, where $$B$$ represents a black ball and $$R$$ represents a red ball.
    $$X$$ represents the number of black balls.
    $$\therefore  X  \left(BB\right) = 2$$
    $$X \left(BR\right) = 1$$
    $$X \left(RB\right) = 1$$
    $$X \left(RR\right) = 0$$
    Therefore, the possible values of $$X$$ are $$0,  1$$ and $$2$$.
    Yes, $$X$$ is a random variable.
  • Question 5
    1 / -0
    If $$P(A/ B) = P(A)$$, then
    Solution
     If P(A|B) = P(A), then events A and B are said to be independent, i.e., A is independent on B and vice versa.
  • Question 6
    1 / -0
    The probability that a leap year will have $$53$$ sundays is 
    Solution
    A leap year has $$52$$ weeks and $$2$$ days.
    The $$53^{rd}$$ Sunday will be from these extra two days.
    These $$2$$ days can be (Sunday,Monday) or (Mon,Tue) or (Tue,Wed).....(Sat,Sun)
    There are $$7$$ possibilities for these $$2$$ days
    Out of which Sunday is coming in $$2$$ possibilities
    $$\therefore P(\text{2 sundays in leap year})=\dfrac{2}{7}$$
  • Question 7
    1 / -0
    The probability of A's a Tenis game against $$B$$ is $$\dfrac{1}{3}$$. Find the probability that A wins at least $$1$$ of the total $$3$$ set of games. 
    Solution
    Given: Probability of $$A$$ winning the tennis game against $$B$$ is $$\dfrac 13$$ and a total of $$3$$ games is played.
    To find: the probability that $$A$$ wins at least $$1$$ of the total $$3$$ set of games
    Probability of $$A$$ winning at least $$1$$ game $$=$$ P (A winning exactly $$1$$ game) $$+$$ P(A winning exactly $$2$$ games) $$+$$ P(A winning exactly $$3$$ games)
    This is Bernoulli's' theorem, hence
    P(Success in each trial) $$={}^nC_k p^k(1-p)^{n-k}$$, in this case $$n = 3,$$ $$p=\dfrac 13$$ and $$k = 1, 2, 3$$
    $$= {}^3C_1\left( \dfrac 13\right)^1\left(1-\dfrac 13\right)^{3-1}+{}^3C_2\left( \dfrac 13\right)^2\left(1-\dfrac 13\right)^{3-2}+{}^3C_3\left( \dfrac 13\right)^3\left(1-\dfrac 13\right)^{3-3}$$

    $$= 3\times \dfrac 13\times \dfrac {2^2}{3^2}+3\times \dfrac {2}{3^2}\times \dfrac 1{3}+1\times \dfrac 1{3^3}\times 1$$

    $$= \dfrac{12}{27}+\dfrac{6}{27}+\dfrac{1}{27}=\dfrac {12+6+1}{27}=\dfrac{19}{27}$$
  • Question 8
    1 / -0
    One percent of the population suffers from a certain disease. There is blood test for this disease, and it is $$99\%$$ accurate, in other words, the probability that is gives the correct answer is $$0.99$$, regardless of whether the person is sick or healthy. A person takes the blood test, and the result says that he has the disease. The probability that he actually has the disease, is?
    Solution
    A be the event of having the disease.
    B be the event of testing positive.
    $$P(A) = 0.01$$
    $$P(B) = P(B/A)P(A) + P(B/ not A)P(not A)$$
    $$P(B) = 0.01*0.99+0.01*0.99 = 0.0198$$
    $$P(A \cap B) = 0.99*0.01$$
    $$P(A/B) = \cfrac{P(A\cap B)}{P(B)}$$
    $$\implies \cfrac{0.99*0.01}{0.0198}$$
    =$$0.5$$ or $$50\%$$

  • Question 9
    1 / -0
    Box I contains $$2$$ white and $$3$$ red balls and box II contains $$4$$ white and $$5$$ red balls. One ball is drawn at random from one of the boxes and is found to be red. Then, the probability that it was from box II, is?
    Solution
    Probability that the ball drawn is red and from ! =$$P(R/A)$$
    $$P(R/A) = \cfrac{P(A/R)\times P(A)}{P(B/R)\times P(B) + P(A/R) \times P(A)}$$
    $$P(R/A) = \cfrac{3}{5}, P(R/B) = \cfrac{5}{9}$$
    $$P(A) = \cfrac{1}{2}, P(B) = \cfrac{1}{2}$$
    $$P(R/A) = \cfrac{\cfrac{3}{5}\times \cfrac{1}{2}}{\cfrac{5}{9}\times \cfrac{1}{2} + \cfrac{3}{5} \times \cfrac{1}{2}} = \cfrac{54}{104}$$
  • Question 10
    1 / -0
    In a simultaneous throw of a pair of dice, find the probability of getting:
    A doublet odd numbers
    Solution

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