Statistical Analysis for Food Quality in the Presence of Vague Information

The present study introduces the neutrosophic statistical test to see investigate the difference between variances of two populations when correlation exits in pair observations. The procedure and statistic of the proposed test under neutrosophic statistics are introduced in the paper. The application of the proposed test is given using the food industry data. The efficiency of the proposed test is compared with that of the existing test in terms of the measure of indeterminacy, flexibility, and information. From the real application and comparative studies, it is concluded that the proposed test is quite reasonable to apply in uncertainty.

Automated summary

The study introduces the neutrosophic statistical test for investigating the difference between variances of two populations with correlation in pair observations. The efficiency of the test is compared with the existing ones in terms of indeterminacy, flexibility, and information, showing that the proposed test is reasonable for application in uncertainty based on real data from the food industry.