CT3 mode and median

Discussion in 'CT3' started by Bharti Singla, Aug 27, 2016.

  1. Bharti Singla

    Bharti Singla Senior Member

    How to find mode and median of discrete distribution?( Like Binomial, Neg.binomial etc.) I am good in finding mode of continuous dist. by finding maximum value using differentiation and median by integrating and putting it 0.5 .
    please rply asap.
    Thankyou
     
  2. Generally for any discrete probability question median and mode can be found out directly by writing the values of probability and their cdf's directly.
    Say, mode is the value for which the probability is the maximum and median is that value of x which comes in between.

    However, for specific distributions, like binomial distribution we can get mode as:
    the value between m-1 and m , where m=(n+1)p. If m itself is an integer, then the distribution has 2 modes , m-1 and m.

    For negative binomial distribution type 2, the mode is given by (k-1)q/p
    For negative binomial distribution type 1, the mode is given by (k-q)/p
     
    Bharti Singla and Shikha Agarwal like this.
  3. So this are specific formula's?
     
  4. But this aren't mention in ct3 material? So can they be asked in exams(IAI)?
     
  5. Bharti Singla

    Bharti Singla Senior Member

    Thankyou
    Yes, please tel can they be asked in exam?
     
  6. Not sure about it.
    You can check in the previous papers whether they've been asked.
     
  7. Bharti Singla

    Bharti Singla Senior Member

  8. Bharti Singla

    Bharti Singla Senior Member

    one more qus.-
    If standard deviation > mean .. then the distribution is not symmetrical, but how do we know whether its positively skewed or negativy skewed?
    Plz clarify.
     
  9. John Lee

    John Lee ActEd Tutor Staff Member

    You can't tell...unless we know the range of the values. So there was an IFoA question where the distribution was for claims and so the values must be greater than 0. Then mean was like 100 and the sd like 200. Since we can't go much lower than 100 - most of the spread must be greater than the 100 - hence positively skewed.
     
    suraj likes this.
  10. If we are not provided that our data can take only positive value?
    .
    Also how to comment if we are given mean and IQR only?
     
  11. suraj

    suraj Member

    Not always true. Counterexample - Standard Normal Distribution
    SD > Mean but distribution is symmetric.
     
  12. Bharti Singla

    Bharti Singla Senior Member

    Then how we can comment on skewness if we have only mean and sd?
     
  13. suraj

    suraj Member

    You can't. More information is required like range of the values, as John said..
     
    John Lee likes this.
  14. Bharti Singla

    Bharti Singla Senior Member

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