Small sample test for the difference between two means

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SUMMARY

The discussion centers on the application of Latin Hypercube Sampling to reduce variance in estimators of mean time-in-system for queueing models, specifically the M/M/1 queueing model and a serial line model. The study, as referenced in the article by Sabuncuoglu, Fadiloglu, and Celik, indicates an average reduction of 6.1 with a standard deviation of 4.1 for the M/M/1 model and 6.6 with a standard deviation of 4.3 for the serial line model. The calculated t-value of 0.2661 and the degrees of freedom of 17.959 lead to the conclusion that the null hypothesis (H0) cannot be rejected, indicating no significant difference in mean reductions between the two models.

PREREQUISITES
  • Understanding of Latin Hypercube Sampling
  • Familiarity with M/M/1 queueing models
  • Knowledge of hypothesis testing and t-tests
  • Ability to calculate degrees of freedom and confidence intervals
NEXT STEPS
  • Study the application of Welch's t-test for unequal variances
  • Learn about confidence interval estimation techniques
  • Explore advanced variance reduction techniques in simulation
  • Investigate the implications of sample size on statistical power
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Statisticians, data analysts, and researchers involved in queueing theory and variance reduction methods in experimental design.

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Homework Statement



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?

Homework 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.

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!
 
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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.
 
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