METODE ALTERNATIF ANALISIS VARIANSI UNTUK DATA DENGAN VARIANSI HETEROGEN; ALTERNATIVE METHOD OF ANALYSIS OF VARIANCE FOR DATA WITH HETEROGENEUS OF VARIANCE

Budiman, Prio A, Sri Haryatmi

2015 | Skripsi | FMIPA

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 Welch and Parametric Bootstrap 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 in different combinations of parameters and various sample sizes.

Kata Kunci : Analysis of variance; heterogeneu svariance; Welch; Parametric Bootstrap; Type I Error Rate