Application of one-way ANOVA in completely randomized experiments
This paper describes an application of a statistical technique one-way ANOVA in completely randomized experiments with three replicates. This technique was employed to a single factor with four levels and multiple observations at each level. The aim of this study is to investigate the relationship...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English English |
| Published: |
IOP Publishing Ltd.
2018
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62410/ http://irep.iium.edu.my/62410/ http://irep.iium.edu.my/62410/ http://irep.iium.edu.my/62410/1/62410_Application%20of%20one-way%20ANOVA%20in%20completely%20randomized_conference%20article.pdf http://irep.iium.edu.my/62410/2/62410_Application%20of%20one-way%20ANOVA%20in%20completely%20randomized_scopus.pdf http://irep.iium.edu.my/62410/13/62410_Application%20of%20one-way%20ANOVA%20in%20completely%20randomized_WoS.pdf |
| Summary: | This paper describes an application of a statistical technique one-way ANOVA in completely randomized experiments with three replicates. This technique was employed to a single factor with four levels and multiple observations at each level. The aim of this study is
to investigate the relationship between chemical oxygen demand index and location on-sites. Two different approaches are employed for the analyses; critical value and p-value. It also presents key assumptions of the technique to be satisfied by the data in order to obtain valid results. Pairwise comparisons by Turkey method are also considered and discussed to determine where the significant differences among the means is after the ANOVA has been performed. The results revealed that there are statistically significant relationship exist between the chemical oxygen demand index and the location on-sites. |
|---|