Centrality test for Non-Normal And Skewed Population
| dc.contributor.author | Suryabuanaputra, Donny | |
| dc.date.accessioned | 2010-05-06T03:17:25Z | |
| dc.date.available | 2010-05-06T03:17:25Z | |
| dc.date.issued | 2001 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/13421 | |
| dc.description.abstract | The t modified 2 test is more robust than t test for skewed popnlation. This test tolerate the population skewness from -1.2 to 1.2 sample size is reather than 25. The sign test robust to the populated skewed population, but the value of the estimated always close to the size of the tcst. Wilcoxon test is not robust to the population skewness. This test is more suittalble for Symmetric population | id |
| dc.publisher | IPB (Bogor Agricultural University) | |
| dc.title | Centrality test for Non-Normal And Skewed Population | id |
| dc.type | Thesis | id |
