A minimum combination t-test method for testing differences in population means based on a group of samples of size one

초록

It is often possible to test for differences in population means when two or more samples are extracted from each N population. However, it is not possible to test for the mean difference if one sample is extracted from each population since a sample mean does not exist. But, by dividing a group of samples extracted one by one into two groups and generating a sample mean, we can identify a heterogeneity that may exist within the group by comparing the differences of the groups' mean. Therefore, we propose a minimum combination t-test method that can test the mean difference by the number of combinations that can be divided into two groups. In this paper, we proposed a method to test differences between means to check heterogeneity in a group of extracted samples. We verified the performance of the method by simulation study and obtained the results through real data analysis.

키워드

heterogeneity; minimum combination t-test method; comparison of means; hypothesis testing
제목
A minimum combination t-test method for testing differences in population means based on a group of samples of size one
저자
Heo, Miyoung; Lim, Changwon
DOI
10.5351/KJAS.2017.30.2.301
발행일
2017-04
유형
Article
저널명
응용통계연구
권
30
호
2
페이지
301 ~ 309