A 2^k Factorial Design on The Effect of Different Cholesterol Reducing Factors
DOI:
https://doi.org/10.14419/rd686p43Keywords:
Cholesterol; Reduction; Factor; Level; Factorial DesignAbstract
This research focuses on the application of a 2K factorial design on the effect of different cholesterol-reducing factors. The purpose is to determine the effect of each factor and its interactions that contribute to the reduction of cholesterol levels. A complete 24 factorial design with two replicates was used for the experiment, where the factors are: Frequency (A), Duration (B), Dosage (C) and Drug type (D) each at two levels. The levels are A (Once and Twice daily), B (4 and 8 weeks), C (Low and High), and D (Statins and PCKS9 inhibitor). The analysis of variance technique was used to test the significant effects, and a Pareto chart was plotted to show a particular factor that has a higher reduction strength to reduce cholesterol level. Results revealed that all the main effects are significant, two–factor interactions of six two–factor interactions are not significant, three–factor interactions are not significant, and four–factor interactions is significant at the 5% level of significance. Hence, from the Pareto chart, it is confirmed that factor C outperformed than other factors and their interactions in reducing cholesterol level.
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Received date: May 14, 2025
Accepted date: June 5, 2025
Published date: June 10, 2025