F. Y. B. Sc. IT Sem - II Internal Examination 2019 - Nsm

40 Questions | Total Attempts: 61

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F. Y. B. Sc. IT Sem - II Internal Examination 2019 - Nsm - Quiz


Questions and Answers
  • 1. 
    A random variable which takes finite or countably infinite values called as ____________ random variable.
    • A. 

      Discrete

    • B. 

      Continuous

    • C. 

      Hybrid

    • D. 

      Stop

  • 2. 
    A random variable is said be ___________ if it takes any value in a given interval.
    • A. 

      Continuous

    • B. 

      Discrete

    • C. 

      Hybrid

    • D. 

      Probability

  • 3. 
    Verify whether the following functions can be p.m.f. or not. P(x) = 0.1, 0.2, 0.3, 0.2, 0.2
    • A. 

      It is a p.m.f.

    • B. 

      It is not a p.m.f.

  • 4. 
    Verify whether the following functions can be p.m.f. or not. P(x) = 0.5, -0.1, 0.6, 0
    • A. 

      It is a p.m.f.

    • B. 

      It is not a p.m.f.

  • 5. 
    Find k, if following function is p.m.f.p(x) = k, 2k, 3k, 4k, 5k.
    • A. 

      1/15

    • B. 

      2/15

    • C. 

      0.11

    • D. 

      -0.1

  • 6. 
    Find p(x
    • A. 

      0.1

    • B. 

      0.4

    • C. 

      0.2

    • D. 

      0.3

  • 7. 
    Find p(x>=3) if p(0)=0.1, p(1)=0.2,p(2)=0.3,p(3)=0.15,p(4)=0.25
    • A. 

      0.4

    • B. 

      0.1

    • C. 

      0.2

    • D. 

      0.3

  • 8. 
    Find p(1<x<4) if p(0) = 0.1, p(1) = 0.2, p(2) = 0.3, p(3) = 0.15, p(4) = 0.25.
    • A. 

      0.45

    • B. 

      0.1

    • C. 

      0.2

    • D. 

      0.3

  • 9. 
    Find p(2<=x<=3) if p(0) = 0.1, p(1) = 0.2, p(2) = 0.3, p(3) = 0.15, p(4) = 0.25.
    • A. 

      0.45

    • B. 

      0.1

    • C. 

      0.3

    • D. 

      0.44

  • 10. 
    Find c.d.f. of 1 where p(1) = 3/5, p(3) = 3/10, p(5) = 1/10.
    • A. 

      3/5

    • B. 

      9/10

    • C. 

      1

    • D. 

      5

  • 11. 
    Find c.d.f. of 3 where p(1) = 3/5, p(3) = 3/10, p(5) = 1/10.
    • A. 

      9/10

    • B. 

      3/5

    • C. 

      1

    • D. 

      3/10

  • 12. 
    Find c.d.f. of 5 where p(1) = 3/5, p(3) = 3/10, p(5) = 1/10.
    • A. 

      1

    • B. 

      9/10

    • C. 

      3/10

    • D. 

      3/5

  • 13. 
    Find k, if the function f defined by f(x) = k x, 0 < x < 2 is the p.d.f. of a random variable x.
    • A. 

      1/2

    • B. 

      2

    • C. 

      1

    • D. 

      2/3

  • 14. 
    Expected value is also called as _________.
    • A. 

      Mean

    • B. 

      Variance

    • C. 

      Distribution

    • D. 

      Standard deviation

  • 15. 
    The positive square root of variance is called _____________.
    • A. 

      Standard deviation

    • B. 

      Variance

    • C. 

      Mean

    • D. 

      Binomial

  • 16. 
    Find c if, p(0) = c, p(1) = 2c, p(2) = 4c, p(3) = 2c, p(4) = c.
    • A. 

      1/10

    • B. 

      2/10

    • C. 

      10

    • D. 

      1

  • 17. 
    Find p(x>=2) if, p(0) = c, p(1) = 2c, p(2) = 4c, p(3) = 2c, p(4) = c.
    • A. 

      7/10

    • B. 

      3/10

    • C. 

      1/10

    • D. 

      7

  • 18. 
    Find p(x<3) if, p(0) = c, p(1) = 2c, p(2) = 4c, p(3) = 2c, p(4) = c.
    • A. 

      7/10

    • B. 

      3/10

    • C. 

      1/10

    • D. 

      10

  • 19. 
    Find p(x<=1) if, p(0) = c, p(1) = 2c, p(2) = 4c, p(3) = 2c, p(4) = c.
    • A. 

      3/10

    • B. 

      7/10

    • C. 

      10

    • D. 

      1

  • 20. 
    A random variable x is said to follow discrete uniform distribution if its p.m.f. if _______.
    • A. 

      1/n

    • B. 

      1/0

    • C. 

      2

    • D. 

      3

  • 21. 
    In uniform distribution E(x) = _________
    • A. 

      (n+1)/2

    • B. 

      N+1/2

    • C. 

      N/2+1

    • D. 

      1+n

  • 22. 
    In uniform distribution var(x) = _________
    • A. 

      (n2 - 1)/12

    • B. 

      N/12

    • C. 

      (n-1)/12

    • D. 

      1/12

  • 23. 
    In Binomial distribution, p is called probability of ______________
    • A. 

      Success

    • B. 

      Failure

  • 24. 
    In Binomial distribution, q is called probability of ______________
    • A. 

      Failure

    • B. 

      Success

  • 25. 
    In Binomial distribution, if p is known then q can be calculated from following formula.
    • A. 

      1-p

    • B. 

      1+p

    • C. 

      1-q

    • D. 

      P+q

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