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Thread: Statistics

  1. #1
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    Statistics

    Any of you guys who feeling comfortable with anything of these?
    Im really lost

    You observe the following sample (rounded) drawn from a normal random variable
    X~N(µ,ó²):

    22, 19, 14, 15, 20, 20, 21, 14, 19, 18, 15, 14, 15.


    a) Use the sample to estimate µ
    and ó².
    b) Estimate the variance of the sample average ó²ӿ
    c) Find a 99% confidence interval for µ
    d) Test the null hypothesis H0: µ15 against H0: µ ≠15 with α= 5%
    e) Test the null hypothesis H0: µ=µ0 against H0: µ ≠µ with α= 5% for an arbitrary µ0.
    f) Find the confidence interval for µ.

    g) How are the results in e) and f) related? Why?

    Im glad for all kind of answers!
    Last edited by mr fantastic; March 20th 2010 at 04:11 AM. Reason: Corrected post
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  2. #2
    MHF Contributor matheagle's Avatar
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    The estimate of \mu is the sample average \bar X

    while the unbiased estimate of \sigma^2 is the sample variance {\sum_{i=1}^n(X_i-\bar X)^2\over n-1}
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  3. #3
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    But I doesnt have n? X would be 4?

    And 0,05, what´s that?
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  4. #4
    MHF Contributor matheagle's Avatar
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    Quote Originally Posted by Lippi86 View Post
    But I doesnt have n? X would be 4?

    And 0,05, what´s that?

    you do need to open up your book
    n is the number of observation in your data set
    alpha =.05 is the probability of a type one error

    You really do need to crack open your book.
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  5. #5
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    the variance of the sample average ó²ӿ , I cant find that in my book? is it the same as just a plan ó.

    because in the qusetion they asking about ó²... and I cant find how Im doing this? maybe it because the book is written in anoter way of doing it?
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