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Probability and Statistics Hints/Solutions to Test Set 4 1. 6 3 6 2 1 3 65 P(Ruby wins) . 9 84 3 + = = 2. Suppose n missiles are fired and X is the number of successful hits. Then X ~ Bin(n, 0.75). We want n such that P(X 3 ) 0.9 5, or P(X = 0) + P(X = 1) + P(X = 3) 0.05. This is equivalent to 2 10(9 3 2) 4 n n n + . The smallest value of n for which this is satisfied is n =6. 3. Let P n denote the probability of an n-component system to operate effectively. Then 3 6 5 3 6 6 1 (1 ) and P 1 (1 ) (1 ) 1 P p p p p = = . Now 3 2 6 3 (1 ) (5 9 3) P P p p p p =− + , which is > 0, if 9 21 0.4417. 10 p > 4. say. ), 01 . 0 ( ) 99 . 0 ( 10 ) 99 . 0 ( 1 ) 1 X ( P ) 0 X ( P 1 ) 1 X ( P pack) a returning ( P 9 10 = = = = > = Let Y denote the number of packs returned. Then Y ~ Bin(3, p). . 9999455 . 0 ) 1 Y ( P ) 0 Y ( P = = + = 5. 5 5 10 5 ( 1000 ) , 0, 1, , 9, ! 5 , 10. ! j j j e PY j j j e j j = = = = = = 6. Let A be the event that person gets a viral infection and B denote the event that the he/she follows the new health regime. Let X be the number of times an individual contracts the viral infection in a year. Then C X | B ~ P(1), and X | B ~ P(5). C 1 P(A | B) P(X 0 | B) e . = = = C C C 5 P(A |B ) P(X 0|B ) e . = = = Using Bayes Theorem C 4 3 P(B|A ) 0.9939. 3 e = = + 7. Let X be the number of defects. Then X ~ P(300). Ley Y be the number of defects in 5% of the pages. Then Y ~ P(3). The required probability is P(Y 2) = 0.4232. 8. Use geometrical probability. 9. Let X denote the life in months of a machine. Then P(X > 200) = e -2 . Let Y denote the number of machines working after 200 months. Then Y ~ Bin (20, e -2 ). So P(Y ≥ 2) = 07746.

Solutions Set 4

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  • Probability and Statistics Hints/Solutions to Test Set 4

    1.

    6 3 62 1 3 65P(Ruby wins) .

    9 843

    +

    = =

    2. Suppose n missiles are fired and X is the number of successful hits. Then X ~ Bin(n, 0.75). We want n such that P(X 3 ) 0.9 5, or P(X = 0) + P(X = 1) + P(X = 3) 0.05. This is equivalent to 210(9 3 2) 4nn n + . The smallest value of n for which this is satisfied is n =6.

    3. Let Pn denote the probability of an n-component system to operate effectively.

    Then 3 6 53 66

    1 (1 ) and P 1 (1 ) (1 )1

    P p p p p = =

    . Now

    3 26 3 (1 ) (5 9 3)P P p p p p = + ,

    which is > 0, if 9 21 0.4417.10

    p >

    4.

    say. ),01.0()99.0(10)99.0(1

    )1X(P)0X(P1)1X(Ppack) a returning(P910 =

    ===>=

    Let Y denote the number of packs returned. Then Y ~ Bin(3, p). .9999455.0)1Y(P)0Y(P ==+= 5.

    5

    5

    10

    5( 1000 ) , 0,1, , 9,!5 , 10.!

    j

    j

    j

    eP Y j jj

    e jj

    =

    = = =

    = =

    6. Let A be the event that person gets a viral infection and B denote the event that the he/she follows the new health regime. Let X be the number of times an individual contracts the viral infection in a year. Then

    CX | B ~ P(1), and X | B ~ P(5). C 1P(A | B) P(X 0 | B) e .= = = C C C 5P(A | B ) P(X 0 | B ) e .= = =

    Using Bayes Theorem C 43P(B | A ) 0.9939.

    3 e= =

    +

    7. Let X be the number of defects. Then X ~ P(300). Ley Y be the number of defects

    in 5% of the pages. Then Y ~ P(3). The required probability is P(Y 2) = 0.4232. 8. Use geometrical probability. 9. Let X denote the life in months of a machine. Then P(X > 200) = e-2. Let

    Y denote the number of machines working after 200 months. Then Y ~ Bin (20, e-2). So P(Y 2) = 07746.

  • 10. 1 31 4( 6 )( 6 | ) ( ) ( 6 | ) ( ) . . .5 5

    P X P X I P I P X II P II e e > = > + > = +

    11 . 1

    (system fails before time t) 1 exp{ 2 }.n

    i

    iP t

    =

    =

    1

    1

    (only component j fails before time t| system fails before time t)

    (1-exp{-2 })exp{ 2 }

    .1 exp{ 2 }

    nj i

    ii j

    ni

    i

    P

    t t

    t

    =

    =

    =

    12. Here, .3528.0obPrqdRe,5/1,4r === 13. P(X 6 | X 5) 0.9 = gives = 0.0253. ( ) 2P X 8 exp{ 0.0253 8 } 0.198.> = = 14. = 58.13, = 10.26, Percentage of students getting grade B is 37.86,

    Percentage of students getting grade C is 47.14. 15. Let X denote the diameter (in cm). Then X ~ N(3, 0.0052).

    ( )P chalk piece is defective 1 P(2.99 X 3.01)

    2 ( 2) 0.0455.= < c) =0.95. Then (800 c) / 10 = 1.645 and so c = 783.55 cm. Further let d be such that P( X > d) = 0.1. Then (800 d)/10 = 1. 28 and so d = 812.80 cm. 18. Let X denote the marks. Then X ~ N(74, 62.41).

    Ans. (a) 64 (b) 86 (c) 77 19. ln Y ~ N(0.8, 0.01). So P(Y 2.7) P(ln Y 0.9933) P(Z 1.93) 0.0268.> = > = > = Let c be such that P(0.8 c ln Y 0.8 c) 0.95. < < + = This is equivalent to

    c cP( Z ) 0.95,0.1 0.1

    < < = or c 0.975, so c 0.196.0.1

    = =

    Therefore

    P(1.8294 Y 2.7074) 0.95.< < =