Gaussian Distribution on Validity Testing to Analyze the Acceptance Tolerance and Significance Level | Zendy

Arif Rahman | Zendy; Oke Oktavianty | Zendy; Ratih Ardia Sari | Zendy; Wifqi Azlia | Zendy; Lavestya Dina Anggreni | Zendy

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Gaussian Distribution on Validity Testing to Analyze the Acceptance Tolerance and Significance Level

Author(s) -

Arif Rahman,

Oke Oktavianty,

Ratih Ardia Sari,

Wifqi Azlia,

Lavestya Dina Anggreni

Publication year - 2020

Publication title -

mathematics and statistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.149

H-Index - 3

eISSN - 2332-2144

pISSN - 2332-2071

DOI - 10.13189/ms.2020.080105

Subject(s) - mathematics , gaussian , statistics , acceptance testing , econometrics , distribution (mathematics) , mathematical analysis , computer science , physics , quantum mechanics , software engineering

Some researches need data homogeneity. The dispersion of data causes research towards an absurd direction. The outlier makes unrealistic homogeneity. The research can reject the extreme data as outlier to estimate trimmed arithmetic mean. Because of the wide data dispersion, it will fail to identify the outliers. The study will evaluate the confidence interval and compare it with the acceptance tolerance. There are three types of invalidity of data gathering: outliers, too wide dispersion, distracted central tendency.

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