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Small sample test for the difference between two means

  1. May 6, 2017 #1
    1. The problem statement, all variables and given/known data

    The article “Variance Reduction Techniques: Experimental Comparison and Analysis for Single Systems” (I.Sabuncuoglu,M. Fadiloglu, and S. Celik, IIE Transactions, 2008:538–551) describes a study of the effectiveness of the method of Latin Hypercube Sampling in reducing the variance of estimators of the mean time-in-system for queueing models. For the M/M/1 queueing model, ten replications of the experiment yielded an average reduction of 6.1 with a standard deviation of 4.1. For the serial line model, ten replications yielded anaveragereductionof6.6withastandarddeviationof 4.3. Can you conclude that the mean reductions differ between the two models?

    2. Relevant equations

    nx = 10 ; X= 6.1 ; Sx = 4.1
    ny = 10 ; Y= 6.6 ; Sy = 4.3

    H0: X-Y = 0 ; H1: X-Y ≠0 ; Δ0 = 0

    As we cannot assume standard deviations to be equal, we use the formula that find student's t and the degree of freedom v.

    3. The attempt at a solution

    It is found that v = 17.959, rounded down to 17
    with t calculated as 0.2661

    As H1: X-Y ≠0, P is the sum of cutoffs
    We are to find Alpha, based on v = 17 and t' = 2t = 0.5322
    It is founded that alpha between 0.25 and 0.40

    All of which higher than 5%, so H0 is not rejected, and cannot conclude the mean reductions differ between the two models.


    My approaches correct, as well as the answer make sense? Thanks!
     
  2. jcsd
  3. May 8, 2017 #2

    FactChecker

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    Not sure why you doubled t to t' = 2t = 0.5322 rather than using t directly. Do you have a reference for that? (I don't think that Welch's t-test does that.)

    Your final conclusion of no significant difference certainly makes sense. A rough "guestimate" of the 95% confidence interval on the first sample puts the second sample mean well within the interval.
     
    Last edited: May 8, 2017
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