problem with cumulative distribution function

Discussion in 'CT3' started by SURESH SHARMA, Aug 30, 2015.

  1. SURESH SHARMA

    SURESH SHARMA Member

    dear team

    please point out my mistake pertaining to CDF

    Y is a discrete random variable

    Y | 10 | 20 | 30 | 40 | 50 |

    F(Y) |.23 |.45 | .78 | .96 | 1 |

    FIND THE PROBABILITY THAT Y TAKES A VALUE GREATER THAN 10 BUT LESS THAN 50

    SOLUTION:

    P(10<Y<50)

    P(Y>10)=1-P(Y<=10)=1-.23=.77
    P(Y<50)= P(Y<=40) = .96

    SO P(10<Y<50)=.96-.77 = .19

    BUT THE ANSWER IS .73

    THANKS AND REGARDS

    SURESH SHARMA
     
  2. deepakraomore

    deepakraomore Member


    Its CDF so the answer is only difference between P(Y=50) and P(Y=10).
    Your mehod is valid for pdf.
     
  3. r_v.s

    r_v.s Member

    Y should be BOTH greater than 10 and less than 50.
    Since you are given the cdf F(y),

    P(10<Y<50) = F(50) - F(10) = 0.96 -0.23 = 0.73
    Why you have subtracted P(Y>10), I can't imagine!! :)
     
  4. SURESH SHARMA

    SURESH SHARMA Member

    please clarify for p(Y<50), We are taking F(Y) value P(y<40) That is .96 , but for P(Y>10). We are taking F(Y) Value of P(Y<10) that is .23,

    WE SHOULD TAKE THE VALUE OF P(Y<20) VALUE AS Y IS GREATER THAN 10??

    THANKS
    SURESH :) :)
     
  5. John Lee

    John Lee ActEd Tutor Staff Member

    F(y) is defined as P(Y<=y).

    Hence the issue will be with the P(Y<50) if it is discrete...
     

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