Antoska-Knights, Vesna and Millaku, Jetmira (2022) Three-factor experimental design as a tool in Applied Statistics. In: The 3rd International Conference of Applied Statistics.
Full text not available from this repository.Abstract
The purpose of this research is the implementation of a Three-factor experimental design as a tool in Applied
Statistics. In this case, it is used as the optimal definition of indicators of the effectiveness of meditation
training and yoga exercise training in reducing stress levels and anxiety in students. 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 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 will show which has the greatest effect from the three factors blood
pressure, duration of sleeping, and smoking, highest influence has a coefficient of factor smoking, then is
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.
Key words: Three-factor experimental design, Applied Statistics, Stress levels and anxiety
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Mathematics |
| Divisions: | Faculty of Technology and Technical Sciences |
| Depositing User: | Mr Jordan Martinovski |
| Date Deposited: | 21 Mar 2023 11:39 |
| Last Modified: | 21 Mar 2023 11:39 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/7874 |
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