Three-factor experimental design as a tool in Applied Statistics

Antoska-Knights, Vesna and Millaku, Jetmira (2023) Three-factor experimental design as a tool in Applied Statistics. International Journal of Statistics and Applied Mathematics.

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The purpose of this research is the implementation of Three-factor experimental design a as a tool in Applied Statistics in purpose of definition of indicators of the effectiveness of reducing stress levels and anxiety in students during meditation training Three-factor experimental design and yoga exercise training. Using this three-factor model three parameters were monitored: blood pressure, duration of sleeping, and smoking. This system of indicators is called a three-factor experimental design with two levels of variation (2^3) for the process of stress and anxiety. A way to obtain simplified models is using full factorial designs, which are important means to evaluate the influence of the factors on response. All 30 students-volunteers have been randomly selected, in the three-factor experiment, and analyzed, and in each case, regardless of gender, the effect of the factors. The result obtained from these analyses using the three-factor experiment were very similar for all the respondents. By applying this model, it shows highest influence has a coefficient of factor smoking, then hours of sleeping on response y (stress and anxiety). This model is a systematic method to determine the relationship between factors affecting a process and the output of that process. In other words, it is used to find cause-and-effect relationships. This information is needed to manage process inputs to optimize the output.

Keywords: Applied statistics, applied statistics as a tool in science, mathematical model, stress levels and anxiety, three-factor experimental design

Item Type: Article
Subjects: Scientific Fields (Frascati) > Natural sciences > Mathematics
Divisions: Faculty of Technology and Technical Sciences
Depositing User: Mr Jordan Martinovski
Date Deposited: 21 Mar 2023 11:38
Last Modified: 21 Mar 2023 11:38

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