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    Talking Sample mean and confidence interval

    Hi, I am Michael.
    I have a question about sample mean n confidence interval.

    Let X1,X2, . . . ,Xn denote a random sample of a Gamma(3,λ) and X-bar
    is the sample mean.
    (a) Describe the distribution of the sample mean X-bar.
    I am quite confused about sample mean of distributions. Is it the chi squared? How should I should describe?

    (b) Use (a) to construct a lower 95% confidence interval for λ, of the
    form (0, U)
    (c) Use (a) to construct an upper 95% confidence interval for λ, of
    the form (L,∞)

    For (b) n (c), are we gonna use pivotal quantity method 2nλ*X-bar~Gamma (n,1/2)=χ2(2N)? If yes, how can i find χ2 for (1-α/2) and χ2 for (α/2)?


    Please HELP!!!
    Thanks in advance for any help!!!!
    Last edited by michael98764; 04-18-2011 at 01:42 PM.

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    Re: Sample mean and confidence interval

    http://en.wikipedia.org/wiki/Gamma_D...ion#Properties

    First, determine the distribution of the sample mean in part a).

    Then, use the properties, try to form a pivotal quantity - a function of the
    sample mean and the parameter \lambda which the distribution
    does not depends on \lambda, such that the quantiles are also
    independent of \lambda, and the quantiles will be your
    required confidence limits.

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