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Probability Test - 16

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Probability Test - 16
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  • Question 1
    1 / -0
    When a coin is tossed at random, then the probability of getting a head is ________.
    Solution
    Tossing of a coin at random can give only two results, i.e. Heads or Tails.
    \Rightarrow Total number of outcomes possible =2= 2

    Probability =Favourable OutcomesTotal Outcomes=12= \dfrac{\text{Favourable Outcomes}}{\text{Total Outcomes}} = \dfrac{1}{2}
  • Question 2
    1 / -0
    Two men hit at a target with probabilities 12\dfrac{1}{2} and 13\dfrac{1}{3} respectively. What is the probability that exactly one of them hits the target?
    Solution
    E1{ E }_{ 1 } denotes the event when first man hits the target
    E2{ E }_{ 2} denotes the event when second man hits the target
    P(E1)=12,P(E2)=13P({ E }_{ 1 })=\cfrac { 1 }{ 2 } ,P({ E }_{ 2 })=\cfrac { 1 }{ 3 }
    Probability that exactly one of them hits the target, P=P(E1)P(E_  2)+P(E2)P(E_  1)P=P({ E }_{ 1 })P({ \overset { \_  }{ E }  }_{ 2 })+P({ E }_{ 2 })P({ \overset { \_  }{ E }  }_{ 1 }) 
    =12×23+13×12=12=\dfrac { 1 }{ 2 } \times \dfrac { 2 }{ 3 } +\dfrac { 1 }{ 3 } \times \dfrac { 1 }{ 2 } =\dfrac { 1 }{ 2 }
  • Question 3
    1 / -0
    In a single throw of a die, the probability of getting a multiple of 33 is ____________.
    Solution
    Possible outcomes on rolling a dice are 1,2,3,4,5,61,2,3,4,5,6
    Out of the possible outcomes, multiple of 33 are 33 and 66.

    Probability == Favourable Outcomes ÷\div Total Outcomes =26=13= \dfrac{2}{6} = \dfrac{1}{3}
  • Question 4
    1 / -0
    A die is tossed 8080 times and the number 33 is obtained 1414 times. Now, a dice is tossed at random, then the probability of getting the number 33 is ________.
    Solution
    Total number of times dice was rolled =80= 80
    Number of times 33 is obtained =14= 14

    Probability =Favourable OutcomesTotal Outcomes= \dfrac{\text{Favourable Outcomes}}{\text{Total Outcomes}}

    \Rightarrow Probability of obtaining 3=1480=7403 = \dfrac{14}{80} =\dfrac{7}{40}
  • Question 5
    1 / -0
    A die is thrown 400400 times, the frequency of the outcomes of the events are given as under.
    outcome
    11
    22
    33
    44
    55
    66
    Frequency
    7070
    6565
    6060
    7575
    6363
    6767
    Find the probability of occurrence of an odd number.
    Solution
    Sum of frequencies =400= 400

    Odd numbers are 1,3,51, 3, 5

    Therefore, frequency of all odd numbers =70+60+63=193= 70 + 60 + 63 = 193

    P(event)=Frequency of occurring of eventThe total number of trialsP(\text{event})=\dfrac{\text{Frequency of occurring of event}}{\text{The total number of trials}}

    Therefore , probability of occurrence of odd number=193400=\dfrac{193}{400}
  • Question 6
    1 / -0
    The probability that a two digit number selected at random will be a multiple of '33' and not a multiple of '55' is
    Solution
    \Rightarrow  Total number of two digit number =90=90

    \Rightarrow  Total number of two digit number which is divisible by 3=303=30

    Out of this there are 66 numbers divisible by 1515 (15,30,45,60,75,90)(15,30,45,60,75,90) which are also divisible by 5.5.

    \Rightarrow  Total two digit number which are divisible by 33 but not 5=306=245=30-6=24

    \Rightarrow  Required probability =2490=415=\dfrac{24}{90}=\dfrac{4}{15}
  • Question 7
    1 / -0
    On one page of a telephone directory there were 200200 telephone numbers. The frequency distribution of their unit place digit is given in the following table:
    Digit00112233445566778899
    Frequency2222262622222222202010101414282816162020
    Solution
    The probability that the digit in its unit place is more than  7=16+20200=36200= 0.18  7 = \dfrac {16+20}{200} =\dfrac {36}{200} =  0.18
  • Question 8
    1 / -0
    In a survey of 364364 children aged 193619-36 months, it was found that 9191 liked to eat potato chips. If a child is selected at random, the probability that he/she does not like to eat potato chips is :
    Solution
    Favorable cases =36491=273=364 - 91 =273
    Total cases =364= 364
    \therefore Probability =273364=0.75= \dfrac { 273 }{ 364 }=0.75
  • Question 9
    1 / -0

    A coin is tossed 150150 times and the outcomes are recorded. The frequency distribution of the outcomes HH (i.e., head) and TT (i.e., tail) is given below :

    OutcomeHHTT
    Frequency85856565

    Find the value of P(H)P(H), i.e., probability of getting a head in a single trial.

    Solution
    Total number of trials =150= 150
    Chances or trials which favour the outcome H=85H=85
    P(H)=P(H) = 85150 \displaystyle \frac{85}{150} == 0.5670.567 (approx)
  • Question 10
    1 / -0
    To know the opinion of the student about the subject statistic, a survey of 200200 students was conducted.

    The data is recorded in the following table

    OpinionLikeDislike
    No. of Students1351356565

    Find the probability that a student chosen at random

    (i)(i) likes statistics, (ii)(ii) does not like it.

    Solution
    Total number of students =200= 200
    (i) Number of students who like the subject of statistics =135= 135
    The probability that a student likes that subject == 135200 \displaystyle\frac{135}{200} = = 2740 \displaystyle \frac{27}{40}

    (ii) Number of students who dislike the subject of statics == 65
    The probability that a student dislikes the subject == 65200 \displaystyle \frac{65}{200} = 1340 \displaystyle \frac{13}{40}
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