Abstract
This paper examines the problem of testing hypotheses about two population means. Most testing hypotheses about two population means, based on the assumption that each random sample drawn from a normal population. In this paper studied the problem of testing hypotheses about two population means are not using the assumption of normality and homogeneity. The method used to test hypotheses about two population means are the bootstrap method. The basic idea of the bootstrap method of repeated sampling with replacement from the sample data. Replication of samples used to determine the point estimator of Achieved Significance Level (ASL). Performance of the bootstrap method was tested using simulated data. The test results show that the bootstrap method to test the hypothesis of two population means well. Furthermore bootstrap method implemented on real data.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
