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Probability Test - 47

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Probability Test - 47
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  • Question 1
    1 / -0
    If $$\dfrac{1+3p}{3},\dfrac{1-2p}{2} $$ are probabilities of two mutually exclusive event, then $$p$$ lies in the interval 
    Solution
    $$Probabilities\quad are\quad \frac { 1+3p }{ 3 } \quad and\frac { 1-2p }{ 2 } \\ so,\quad 0\le \frac { 1+3p }{ 3 } \le 1\\ \Rightarrow 0\le 1+3p\le 3\\ \Rightarrow -1/3\le p\le 2/3\\ Alse,\quad 0\le \frac { 1-2p }{ 2 } \le 1\\ \Rightarrow 0\le 1-2p\le 2\\ \Rightarrow -1\le -2p\le 1\\ \Rightarrow -1\le 2p\le 1\\ \Rightarrow -1/2\le p\le 1/2\\ Intersection\quad range\quad of\quad p\quad for\quad both\quad probabilities\quad to\quad be\quad valid\quad =-1/3\le p\le 1/2$$
  • Question 2
    1 / -0
    If P(A) = P(B), then
    Solution
    Given $$P(A) = P(B)$$
    Then $$A$$ can be different event from $$B$$ because $$A\;\xi\;B$$ are Mutually exclusive.
    i.e, $$A\;\xi\;B$$ may be different events.
    Hence, the answer is $$A$$ and $$B$$ may be different events.
  • Question 3
    1 / -0
    $$A$$ and $$B$$ are two events such that $$P(A\cup B) = \dfrac {3}{4}, P(A\cap B) = \dfrac {1}{4}, P(\overline {A}) = \dfrac {2}{3}$$; then $$P(\overline {A} \cap B)$$ is
    Solution
    $$P(\overline A\cap B)=P(\overline A)-(1-P(A\cup B))$$

    $$=\dfrac{2}{3}-\dfrac{1}{4}=\dfrac{5}{12}$$
  • Question 4
    1 / -0
    If $$A$$ and $$B$$ are mutually exclusive events, then
    Solution
    Given $$A$$ and $$B$$ are mutually exclusive
    $$\Rightarrow P(A\cup B)=P(A)+(B)$$
    $$\Rightarrow P(A-B)=P(A)-P(B)$$
    When $$P(B)=0$$  i.e, $$P(A_B)+P(A)$$
    $$\Rightarrow P(B)=0$$ is not a sure event.
    Hence, the answer is $$P(A)=P(A-B).$$
  • Question 5
    1 / -0
    Two events $$A$$ and $$B$$ are such that
    $$P(A)=\cfrac { 1 }{ 4 } ,P(A|B)=\cfrac { 1 }{ 4 } $$ and $$P(B|A)=\cfrac { 1 }{ 2 } $$
    Consider the following statements:
    (I) $$P(\overline { A } |\overline { B } )=\cfrac { 3 }{ 4 } $$
    (II) $$A$$ and $$B$$ are mutually exclusive
    (III) $$P(A|B)+P(A|\overline { B } )=1$$
    Then
    Solution
    $$P(\overline{A}|\overline{B})=1-\dfrac{1}{4}=\dfrac{3}{4}$$

    for A to B mutually Exclusive , $$P(A|B)$$x$$P(B|A)=1$$ but here $$P(A|B)$$x$$P(B|A)=\dfrac18$$

    $$(III)$$ is also incorrect because $$(I)$$ is the correct property that is
     
    $$P(\overline{A}|\overline{B})+P(A|B)=1$$
  • Question 6
    1 / -0
    $$A, B$$ and $$C$$ are three mutually exclusive and exhaustive events such that $$P(A) = 2P(B) = 3P(C)$$.
    What is $$P(B)$$?
    Solution
    Given: A, B, C are mutually exclusive and exhaustive events, so this means
    $$P(A\cup B\cup C)=P(S)=1$$
    And ,$$P(A\cap B\cap C)=P(A\cap B)=P(B\cap C)=P(A\cap C)=0$$
    We know, 
    $$P(A\cup B\cup C) = P(A)+P(B)+P(C)-P(A\cap B)-P(B\cap C)-P(A\cap C)+P(A\cap B\cap C)\\\implies 1=P(A)+P(B)+P(C)-0-0-0+0\\\implies P(A)+P(B)+P(C)=1$$
    Give, $$P(A)=2P(B)=2P(C)$$
    Hence, $$P(A)+P(B)+P(C)=1 $$ becomes
    $$2P(B)+P(B)+P(B)=1\\\implies 4P(B)=1\\\implies P(B)=\dfrac 14$$
  • Question 7
    1 / -0
    If for two events $$A$$ and $$B, P(A\cap B)\ne P(A) \times P(B)$$, then the two events $$A$$ and $$B$$ are
    Solution
    For independent.events $$P\left( A\cap B \right) =P\left( A \right) .P\left( B \right) $$
    So, $$P\left( A\cap B \right) \neq P\left( A \right) .P\left( B \right) $$ implies that A and B are independent.
  • Question 8
    1 / -0
    For two independent events $$A$$ and $$B$$, what is $$P(A +B)$$, given $$P(A) = \dfrac {3} { 5}$$ and $$P(B) =\dfrac { 2 }{3}$$?
    Solution
    Given: $$P(A)=\dfrac 35, P(B)=\dfrac 23$$, $$A$$ and $$B$$ are independent.
    To find: $$P(A+B)=?$$
    Sol: As $$A$$ and $$B$$ are independent, $$P(A\cap B)=P(A)P(B)$$
    Now, $$P(A+B)=P(A\cup B)=P(A)+P(B)-P(A\cap B)$$
    $$\implies P(A+B)=P(A)+P(B)-P(A)P(B)\\\implies P(A+B)=\dfrac 35+\dfrac 23-\dfrac 35\times \dfrac 23\\\implies = \dfrac {10+9-6}{15}=\dfrac {13}{15}$$
  • Question 9
    1 / -0
    If $$A, B$$ and $$C$$ are mutually exclusive and exhaustive events, then $$P(A) + P(B) + P(C)$$ equals to - 
    Solution
    Given $$A,B,C$$ are mutually exclusive and exhaustive events
    When $$A,B,C$$ are mutually exclusive events,
    $$\Rightarrow P(A\cup B\cup C)=P(A)+P(B)+P(C)$$
    When $$A,B,C$$ are exheustive event,
    $$\Rightarrow P(A)+P(B)+P(C)=1$$
    Hence, the answer is probability  always $$1.$$
  • Question 10
    1 / -0
    Let $$A$$ and $$B$$ be subsets of $$X$$ and $$C=\left( A\cap B' \right) \cup \left( A'\cap B \right) $$ where $$A'$$ and $$B'$$ are complements of $$A$$ and $$B$$ respectively in $$X$$. What is $$C$$ equal to?
    Solution
    Given : $$C = (A\cap B') \cup (A'\cap B)$$.
    Hence, $$C = (A\cup B) - (A\cap B)$$

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