Self Studies

Probability Test 9

Result Self Studies

Probability Test 9
  • Score

    -

    out of -
  • Rank

    -

    out of -
TIME Taken - -
Self Studies

SHARING IS CARING

If our Website helped you a little, then kindly spread our voice using Social Networks. Spread our word to your readers, friends, teachers, students & all those close ones who deserve to know what you know now.

Self Studies Self Studies
Weekly Quiz Competition
  • Question 1
    1 / -0
    In a bolt factory, machines A, B and C manufacture 25%, 35%, 40% respectively. Of the total of their output 5, 4 and 2% are defective. A bolt is drawn and is found to be defective. What are the probabilities that it was manufactured by the machines A, B and C?
    Solution
    Here $$\displaystyle P\left( A \right) =\frac { 25 }{ 100 } ,P\left( B \right) =\frac { 35 }{ 100 } ,P\left( C \right) =\frac { 40 }{ 100 } $$

    $$\displaystyle P\left( \frac { D }{ A }  \right) =\frac { 5 }{ 100 } ,P\left( \frac { D }{ B }  \right) =\frac { 4 }{ 100 } ,P\left( \frac { D }{ C }  \right) =\frac { 2 }{ 100 } $$

    where $$D$$ denotes defective bolts
    Now $$\displaystyle P\left( D \right) =P\left( A \right) .P\left( \frac { D }{ A }  \right) +P\left( B \right) .P\left( \frac { D }{ B }  \right) +P\left( C \right) .P\left( \frac { D }{ C }  \right) $$

    $$\displaystyle =\frac { 25 }{ 100 } .\frac { 5 }{ 100 } +\frac { 35 }{ 100 } .\frac { 4 }{ 100 } +\frac { 40 }{ 100 } .\frac { 2 }{ 100 } =0.0345$$

    $$\displaystyle P\left( \frac { A }{ D }  \right) =\frac { P\left( A \right) .P\left( \frac { D }{ A }  \right)  }{ P\left( A \right) .P\left( \frac { D }{ A }  \right) +P\left( B \right) .P\left( \frac { D }{ B }  \right) +P\left( C \right) .P\left( \frac { D }{ C }  \right)  } $$

    $$\displaystyle =\frac { \frac { 25 }{ 100 } .\frac { 5 }{ 100 }  }{ 0.0345 } =\frac { 25 }{ 69 } $$

    $$\displaystyle P\left( \frac { B }{ D }  \right) =\frac { P\left( B \right) .P\left( \frac { D }{ B }  \right)  }{ P\left( A \right) .P\left( \frac { D }{ A }  \right) +P\left( B \right) .P\left( \frac { D }{ B }  \right) +P\left( C \right) .P\left( \frac { D }{ C }  \right)  } $$

    $$\displaystyle =\frac { \frac { 35 }{ 100 } .\frac { 4 }{ 100 }  }{ 0.0345 } =\frac { 28 }{ 69 } $$
    $$\displaystyle P\left( \frac { C }{ D }  \right) =\frac { P\left( C \right) .P\left( \frac { D }{ C }  \right)  }{ P\left( A \right) .P\left( \frac { D }{ A }  \right) +P\left( B \right) .P\left( \frac { D }{ B }  \right) +P\left( C \right) .P\left( \frac { D }{ C }  \right)  } $$

    $$\displaystyle =\frac { \frac { 40 }{ 100 } .\frac { 2 }{ 100 }  }{ 0.0345 } =\frac { 16 }{ 69 } $$
  • Question 2
    1 / -0
    If in Q. 104, we are told that a white ball has been drawn, find the probability that it was drawn from the first urn.
    Solution
    Here we have to find $$\displaystyle P\left ( A_{1}/B \right ).$$
    By Baye's theorem
    $$\displaystyle P\left ( A_{1}/B \right )= \frac{P\left ( A_{1} \right )P\left ( B/A_{1} \right )}{P\left ( A_{1} \right )P\left ( B/A_{1} \right )+P\left ( A_{2} \right )P\left ( B/A_{2} \right )+P\left ( A_{3} \right )P\left ( B/A_{3} \right )}$$
    $$\displaystyle = \dfrac{\dfrac{1}{3}.\dfrac{2}{5}}{\dfrac{3}{5}},$$
    $$\displaystyle = \frac{2}{9}.$$
  • Question 3
    1 / -0
    If $$A$$ and $$B$$ are mutually exclusive events, then $$\displaystyle P\left ( A\cap B \right )$$ equals
    Solution
    Given event $$A$$ and $$B$$ are mutually exclusive 
    $$\therefore A\cap B = \phi\Rightarrow n\cap B = 0\Rightarrow P\left(A\cap B\right) = 0$$
  • Question 4
    1 / -0
    Two coins are tossed, $$A$$ is the event of getting at most one head, $$B$$ is the event getting both heads, $$C$$ is the event of getting same face on both the coins. The events $$A$$ and $$B$$ are:
    Solution
    $$n(S)\, =\, 4, n(A)\, =\, 3, n(B)\, =\, 1, n(C)\, =\, 2, A \cap B\, =\, \phi$$ 
    $$\therefore\, A$$ and $$ B\,$$ are mutually exclusive events.
  • Question 5
    1 / -0
    A is known to tell the truth in $$5$$ cases out of $$6$$ and he states that a white ball was drawn from a bag containing $$8$$ black and $$1$$ white ball. The probability that the white ball was drawn, is
    Solution
    Let $$W$$ denote the event that $$A$$ draws a white ball and $$T$$ the event that $$A$$ speak truth.
    In the usual notations, we are given that 
    $$\displaystyle P\left( W \right) =\frac { 1 }{ 9 } ,P\left( \frac { T }{ w }  \right) =\frac { 5 }{ 6 } $$
    so that $$\displaystyle P\left( \overline { W }  \right) =1-\frac { 1 }{ 9 } =\frac { 8 }{ 9 } ,P\left( \frac { T }{ \overline { W }  }  \right) =1-\frac { 5 }{ 6 } =\frac { 1 }{ 6 } $$.
    Using Baye's theorem required probability is given by 
    $$\displaystyle P\left( \frac { W }{ T }  \right) =\frac { P\left( W\cap T \right)  }{ P\left( T \right)  } =\frac { P\left( W \right) P\left( \frac { T }{ w }  \right)  }{ P\left( W \right) P\left( \frac { T }{ w }  \right) +P\left( \overline { W }  \right) P\left( \frac { T }{ \overline { W }  }  \right)  } $$
    $$\displaystyle =\frac { \dfrac { 1 }{ 9 } \times \dfrac { 5 }{ 6 }  }{ \dfrac { 1 }{ 9 } \times \dfrac { 5 }{ 6 } +\dfrac { 8 }{ 9 } \times \dfrac { 1 }{ 6 }  } =\frac { 5 }{ 13 } $$
  • Question 6
    1 / -0

    Directions For Questions

    A class consists of $$n$$ students. For $$0\leq k\leq n$$, let $$E_k$$ denote the event that exactly $$k$$ student out of $$n$$ pass in the examination. Let $$P(E_k)=p_k$$ and let $$A$$ denote the event that a student $$X$$ selected at random pass in the examination.

    ...view full instructions

    If $$P(E_k)=C$$ for $$0\leq k\leq n$$, then the probability that $$X$$ is the only student to pass the examination is
    Solution
    By the Bayes' rule
    $$\displaystyle P(E_1|A)=\frac {P(E_1)P(A|E_1)}{P(A)}=\frac {2}{n(n+1)}$$
  • Question 7
    1 / -0
    A certain player, say $$X$$, known to win with probability $$0.3$$ if the track is fast and $$0.4$$ if the track is slow. For Monday, there is a $$0.7$$ probability of a fast track and $$0.3$$ probability of a slow track. The probability that player $$X$$ will win a Monday, is
    Solution
    Let us define the events:
    $$W:$$ Players wins on Monday
    $$F:$$ Track is fast
    $$S:$$ Track is slow
    We have given: $$\displaystyle P\left( F \right) =0.7,P\left( S \right) =0.3,P\left( \frac { W }{ F }  \right) =0.3,P\left( \frac { W }{ S }  \right) =0.4$$
    $$\therefore P($$ player $$X$$ will win on Monday $$)$$
    $$\displaystyle =P\left( W \right) =P\left( W\cap F \right) +P\left( W\cap S \right) =P\left( F \right) \times P\left( \frac { W }{ F }  \right) +P\left( S \right) \times P\left( \frac { W }{ S }  \right) \\ =0.7\times 0.3+0.3\times 0.4=0.33$$
  • Question 8
    1 / -0
    At the college entrance examination each candidate is admitted or rejected according to whether he has passed or failed the tests. Of the candidate who are really capable, $$80$$% pass the test and of the incapable, $$25$$% pass the test. Given that $$40$$% of the candidates are really capable, then the proportion of capable college students is about 
    Solution
    Let $$A$$ be the event that a really able candidate passes the test 
    and let $$B$$ be the event that any candidate passes this test.
    Then we have
    $$\displaystyle P\left( \frac { B }{ A }  \right) =0.8,P\left( \frac { B }{ A' }  \right) =0.25,P\left( A \right) =0.4,P\left( A' \right) =1-0.4=0.6$$
    By Baye's formula
    $$\displaystyle P\left( \frac { A }{ B }  \right) =\frac { P\left( A \right) P\left( \frac { B }{ A }  \right)  }{ P\left( A \right) P\left( \frac { B }{ A }  \right) +P\left( A' \right) P\left( \frac { B }{ A' }  \right)  } =\frac { 0.32 }{ 0.32+0.15 } =\frac { 32 }{ 47 } =68$$%
  • Question 9
    1 / -0
    A die is thrown. $$A$$ is the event that prime number comes up, $$B$$ is the event that the number divisible by three comes up, $$C$$ is the event that the perfect square number comes up. Then, $$A, B$$ and $$C$$ are :
    Solution
    Here, the sample space is $$S=\{1,2,3,4,5,6\}$$
    $$\Rightarrow n(S) = 6$$
    $$A$$ : Getting a prime number $$\Rightarrow A=\{2,3,5\}$$
    $$\therefore n(A) = 3$$
    $$B$$ : Getting a number divisible by $$3 \Rightarrow B=\{3,6\}$$
    $$\therefore n(B) = 2$$
    $$C$$ : Getting a perfect square $$\Rightarrow C=\{1,4\}$$
    $$\therefore n(C) = 2$$
    Now, $$A\cup B\cup C=\{1,2,3,4,5,6\}$$
    Thus, the events $$A,B$$ and $$C$$ are mutually exhaustive events.
  • Question 10
    1 / -0
    A person is know to speak the truth 4 times out of 5. He throws a die and reports that it is a ace. The probability that it is actually a ace is
    Solution
    Let $$E_1$$ denote the event that an ace occurs and $$E_2$$ the event that it does not occur. Let $$A$$ denote the event that the person reports that it is an ace. 
    Then $$P(E_1)=1/6, P(E_2)=5/6, P(A|E_1)=4/5$$ an $$P(A|E_2)=1/5$$. 
    By Bayes' theorem,
    $$P(E_1|A)=\dfrac {P(E_1)P(A|E_1)}{P(E_1)P(A|E_1)+P(E_2)P(A|E_2)}$$
    $$=\dfrac {4}{9}$$
Self Studies
User
Question Analysis
  • Correct -

  • Wrong -

  • Skipped -

My Perfomance
  • Score

    -

    out of -
  • Rank

    -

    out of -
Re-Attempt Weekly Quiz Competition
Self Studies Get latest Exam Updates
& Study Material Alerts!
No, Thanks
Self Studies
Click on Allow to receive notifications
Allow Notification
Self Studies
Self Studies Self Studies
To enable notifications follow this 2 steps:
  • First Click on Secure Icon Self Studies
  • Second click on the toggle icon
Allow Notification
Get latest Exam Updates & FREE Study Material Alerts!
Self Studies ×
Open Now