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Probability Test - 30

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Probability Test - 30
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  • Question 1
    1 / -0
    A coin is tossed and a die is thrown simultaneously :
    $$P$$ is the event of getting head and a odd number.
    $$Q$$ is the event of getting either $$H$$ or $$T$$ and an even number.
    $$R$$ is the event of getting a number on die greater than $$7$$ and a tail.
    $$S$$ is the sample space.
    Which of the following options is correct?
    Solution
     A coin is tossed and a die is thrown simultaneously.
    $$ S = \{ H1, H2, H3, H4, H5, H6, T1, T2, T3, T4, T5, T6 \} $$
    Thus $$  n (S) = 12$$
    $$P$$ is the event of getting head and an odd number.
    $$P = \{ H1, H3, H5 \}$$
    Thus $$  n (P) = 3$$
    $$Q$$ is the event of getting either $$H$$ or $$T$$ and an even number.
    $$Q = \{ H2, H4, H6, T2, T4, T6 \}$$
    Thus $$ n (Q) = 6$$
    $$R$$ is the event of getting a number greater than $$7$$ and tail $$1$$.
    $$R = \{ \}$$
    $$\therefore n(R)=0$$
    Hence, option C is correct.
  • Question 2
    1 / -0
    Two dice are thrown :
    $$P$$ is the event that the sum of the scores on the uppermost faces is a multiple of $$6$$.
    $$Q$$ is the event that the sum of the scores on the uppermost faces is at least $$10$$.
    $$R$$ is the event that same scores on both dice.
    Which of the following pairs is mutually exclusive?
    Solution
    Possibilities of$$ P$$, $$(3,3), (6,6), (1,5), (5,1), (4,2),(2,4)$$
    Possibilities of $$Q: (5,5), (5,6),(6,5), (6, 6)$$
    Possibilities of $$R: (1,1), (2,2),(3, 3), (4,4), (5,5), (6,6)$$
    Thus, the possibilities are neither exhaustive, nor mutually exclusive nor these are complementary probabilities.
  • Question 3
    1 / -0
    Two die are thrown find the probability of getting the sum of the numbers on their upper faces divisible by 9.
    Solution
    Sample space of nos obtained is $$= 6\times6   $$   (As two dices are independent)
    Sum of nos. obtained divisible by $$9 = {(3,6),(4,5)(5,4),(6,3)}=4$$
    probability of getting the event = $$\cfrac{4}{36}$$= $$\cfrac{1}{9}$$
  • Question 4
    1 / -0
    In a certain city two newspapers $$A$$ and $$B$$ are published. It is known that $$25$$% of the city population reads $$A$$ and $$20\%$$ of the population reads $$B$$. $$8\%$$ of the population reads both $$A$$ and $$B$$. It is known that $$30$$% of those who read $$A$$ but not $$ B $$ look into advertisements and $$40$$% of those who read $$B$$ but not $$A$$ look advertisements while $$50$$% of those who read both $$A$$ and $$B$$ look into advertisements . What is the percentage of the population who reads an advertisement?
    Solution
    Let $$P(A)$$ and $$P(B)$$ denote the precentage of city population who reda newspapers $$A$$ and $$B$$.
    Then from given data ,we have 
    $$P(A)=25\%=$$$$\displaystyle =\frac{1}{4}$$,P(B)=20%=$$\displaystyle =\frac{1}{5}.$$
    $$\displaystyle P\left ( A\cap B \right )=8%=\frac{2}{25}.$$
    $$\displaystyle \therefore$$ Percentage of those who read A but not B $$\displaystyle P\left ( A\cap \bar{B} \right )=P\left ( A \right )-P\left ( A\cap B \right )$$ [see theorem 2 & 3] $$\displaystyle =\frac{1}{4}-\frac{2}{25}=\frac{17}{100}=17%$$ 
    Similarly,$$\displaystyle P\left ( \bar{A}\cap B \right )=P\left ( B \right )-P\left ( A\cap B \right )$$ $$\displaystyle =\frac{1}{5}-\frac{2}{25}=\frac{3}{25}=12%$$
    If $$P(C)$$ denotes the percentage of those who look into advertisement , then from the given data we obtain $$\displaystyle P\left ( C \right )30 %of P\left ( A\cap \bar{B} \right )+40%$$ of
    $$\displaystyle P\left ( A\cap \bar{B} \right )+50 
    of  P\left ( A\cap B \right )$$
    $$\displaystyle =\frac{3}{10}\times \frac{17}{100}+\frac{2}{5}\times \frac{3}{25}+\frac{1}{2}\times \frac{2}{25}$$ 

    $$\displaystyle =\frac{51+48+40}{1000}=\frac{139}{1000}=13.9\%$$.
    Thus the percentage of population who read an advertisement is $$ 13.9$$%
  • Question 5
    1 / -0
    Two fair die are thrown, find the probability that sum of the points on their uppermost faces is a perfect square or divisible by $$4$$:
    Solution
    two fair dice thrown 
    so total cases$$= 6\times6=36$$
    and perfect square or divisible by $$4$$ that mean that sum should be equal to $$=4,8,9,12$$
    for getting $$4= (1,3);(2,2);(3,1)$$
    for getting $$8= (2,6);(3,5);(4,4);(5,3);(6,2)$$
    for getting $$ 9= (3,6);(4,5);(5,4);(6,3)$$
    for getting $$12=(6,6)$$
    so total cases$$=3+5+4+1=13$$
    so probability =$$\cfrac{13}{36}$$
  • Question 6
    1 / -0
    The probability of an event A occurring is $$0.5$$ and of B occuring s $$0.3$$. If A and B are mutually exclusive events, then the probability of neither  A nor B occurring is
    Solution
    $$\displaystyle P\left ( \bar{A}\cap \bar{B} \right )=P\left (

    \overline{A\cup B} \right )$$ $$\displaystyle =1-P\left ( A\cup B \right

    )=1-\left [ P\left ( A \right ) +P\left ( B \right )\right ]=1-0.5-0.3=0.2.$$
    [ $$\displaystyle \because $$Events A, B are mutually exclusive ]
  • Question 7
    1 / -0
    A coin is tossed twice. Events E and F are defined as follows :E=heads on first toss, F= heads on second toss.Find the probability of $$\displaystyle E\cup F.$$
    Solution
    Let H denotes head and T denotes tail . 
    Sample space $$S=\{(H, H) ,(H,T), (T, H), (T, T)\}$$
    Total number of sample points $$n(S)=4$$
    Now, $$ E = \{(H, H), (H, T)\} $$
    and $$F=\{(H, H), (T, H)\}$$
    $$E\cup F=\{(H, H), (H,T), (T, H)\}$$
    So $$ n(E\cup F)=3$$
    Hence $$\displaystyle P(E\cup F)=\displaystyle \frac{n(E\cup F)}{n(S)}=\frac{3}{4}$$
  • Question 8
    1 / -0
    In a class of $$100$$ students, $$60$$ students drink tea, $$50$$ students drink coffee and $$30$$ students drink both. A student from class is selected at random, find the probability that student takes at least one of the two drinks (i.e. tea or coffee or both).
    Solution
    It is given that,
    $$(1)$$ The total students in a class $$=100$$.
    $$(2)$$ Students drinking coffee $$=50$$.
    $$(3)$$ Students drinking tea $$=60$$.
    $$(4)$$ Student drinking both coffee and tea $$=30$$.

    Using (1), we get

    $$n(S)=100$$

    Let $$A$$ be the event that the selected student drink tea.
    Using $$(3)$$, $$n(A)=60$$.

    $$\therefore P(A)=\dfrac{n(A)}{n(S)}=\dfrac{60}{100}=\dfrac{3}{5}$$.

    Let $$B$$ be the event that the selected student drink coffee.

    Using $$(2)$$, $$n(B)=50$$.

    Therefore, $$ P(B)=\dfrac{n(B)}{n(S)}=\dfrac{50}{100}=\dfrac{1}{2}$$.

    Now $$A \cap B$$ is the event that selected student drinks both coffee and tea and $$A\cup B$$ is the event that the student selected drinks either tea or coffee or both.

    Now using $$(4)$$, $$n(A\cap B)=30$$.

    $$\therefore P(A\cap B)=\dfrac{n(A\cap B)}{n(S)}=\dfrac{30}{100}=\dfrac{3}{10}$$.

    Now $$P(A\cup B)=P(A)+P(B)-P(A\cap B)$$

    $$=\dfrac {3}{5}+\dfrac {1}{2}-\dfrac {3}{10}$$

    $$=\dfrac{6+5-3}{10}$$

    $$=\dfrac{8}{10}=\dfrac{4}{5}$$

    Thus $$P(A\cup B)=\dfrac{4}{5}$$

    The probability that selected student takes at least one of the drinks is $$\dfrac{4}{5}$$.
  • Question 9
    1 / -0
    If A and B are arbitrary events, then
    Solution
    For arbitrary events A, B, we have
    $$\displaystyle P\left ( A\cup B \right )= P\left ( A \right )+P\left ( B \right )-P\left ( A\cap B \right ).$$ ...(1)
    Since probability of an event is less then or equal to 1, we have
    $$\displaystyle P\left ( A\cup B \right )\leq 1$$ and so (1) gives
    $$\displaystyle P\left ( A \right )+P\left ( B \right )-P\left ( A\cap B \right )\leq 1$$
    or $$\displaystyle P\left ( A \right )+P\left ( B \right )-1\leq P\left ( A\cap B \right )$$
    or $$\displaystyle P\left ( A\cap B \right )\geq P\left ( A \right )+P\left ( B \right )-1.$$
  • Question 10
    1 / -0
    There are n different object 1, 2, 3, ... n distributed at random in n boxes $$\displaystyle A_{1},A_{2},A_{3},\cdots A_{N}.$$ Find the probability that two objects are placed in the boxes corresponding to their number.
    Solution
    Let $$\displaystyle E_{i}$$ be the event that ith object is placed in ithe box,
    $$\displaystyle P\left ( E_{i} \right )=1.\dfrac{\left ( n-1 \right )}{n!}=\dfrac{1}{n},i=1,2\cdots n.$$ 
    Now the probability that two boxes contain right objects.$$\displaystyle P\left ( E_{i}\cap E_{j} \right )=1.\dfrac{\left ( n-2 \right )!}{n!}$$ 
    and these two objects can be out of n objects in $$\displaystyle ^{n}C_{2}$$ways. 
    So the probability that two objects are in right boxes.$$\displaystyle =^{n}C_{2}\dfrac{\left ( n-2 \right )!}{n!}=\dfrac{n!}{2!\left ( n-2 \right )!}.\dfrac{\left ( n-2 \right )}{n!}=\dfrac{1}{2}.$$
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