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Power Analysis of Bootstrap Methods for Testing Homogeneity of Variances with Small SampleShih, Chiang-Ming 23 July 2008 (has links)
Several classical tests are investigated for testing the homogeneity of variances. However, in case of homoscedasticity statistics do not perform well with small sample size. In this article we discuss the use of bootstrap technique for the problem of testing equality of variances with small samples. Two important features of the proposed resampling method are their flexibility and robustness. Both £\ levels and power of our new proposed procedure is compared with the other classical methods discussed here.
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HAPPINESS INDEXTHE CONSTRUCTION AND ANALYSISERIC, AIDOO, SAIJING, ZHENG January 2010 (has links)
This study aims to investigate the important indicators that contribute to happiness among Beijing residence. The residents of Beijing were taken as the target population for the survey. A questionnaire was used as the main statistical instrument to collect the data from the residents in Beijing. In so doing the investigation employs Factor analyses and chi-square analyses as the main statistical tools used for the analyses in this research. The study found that Beijing residents gained greater happiness in the family, interpersonal relationships, and health status. The analysis also shows that generally, the residence of Beijing feels happier and also in terms of gender basis, females in Beijing feel happier as compare to their male counterpart. It will find that gender, age and education are statistically significant when dealing with happiness.
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