UJI ONE STAGE , BROWN FORSYTHE DAN WELCH SEBAGAI METODE ALTERNATIF UNTUK ANALISIS VARIANSI DENGAN PELANGGARAN ASUMSI KESAMAAN VARIANSI (Studi kasus : Data produksi tebu empat kabupaten di provinsi D.I.Yogyakarta dengan variansi yang berbeda tiap kabupaten)

Perwira, Rizki Yudha, Gunardi

2016 | Skripsi | FMIPA

It is known that using The classical F-test to compare several population means depend on the assumption of equality of variance of the population and the normality. When these assumption especiality the equality of variance is dropped, the classical F-test be not robust for decision making. This can be considered a serious problem in some applications, especially when the sample is not large. To deal with this problem, a number of tests are available in the literature. In this study One-stage, Welch and Brown Forsythe tests are alternative method of analysis variance that introduced and a simulation study is performed to compare these tests according to type I error rates. Simulation results indicate that the power of the singlestage test is better than the Brown Forsythe, Welch test and that this test performs well in terms of the reject ratios for small number of populations and sample sizes.

Kata Kunci : Analysis of variance, heterogeneous variance, One-stage, Welch, Brown Forsythe,Type I Error Rate