AN AGRICULTURAL CASE STUDY ON BLACK SEED YIELD IN ALBANIA: TESTING CLASSICAL HYPOTHESES VERSUS TESTING FUZZY HYPOTHESES

The focus of this work concerns the data elaboration for verification of the hypothesis about the yield of the Black seed plant cultivated in Albania for the period May - August 2023. The experiment was carried on in the Didactic Experiment Field (DEF) of the Agricultural University of Tirana (AUT) in Albania. The study about the yield of this plant is of importance for its medicinal purposes’ usage. And the experiment is about its compliance with the soil and weather conditions that most suit to it and it is decided by observing the planting of it in different fields at different locations in Albania. This study concentrates on testing the hypothesis for the mean yield of the plant where the seeds come from different countries of origin. What was observed is that there exist some discrepancies in the obtained results with the classical hypotheses testing and Testing Fuzzy Hypothesis (TFH) technique shows to be more accurate with the results obtained. TFH does not lead to a clear acceptance or rejection, but indicates a degree of rejection of the null hypothesis based on the confidence factor (CF). Also, unlike classical approaches, TFH takes into account both the null (H0) and alternative (H1) hypotheses. From the data processing in MATLAB and STATA software, it was observed that populations 3, 4, 8 gave the best yield (grams per plant) and may be more suitable for cultivation in Albanian conditions.