FACTORIAL EXPERIMENTS AND ITS APPLICATIONS IN INDUSTRIES
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Abstract
This study focused on factorial experiments and its applications in industries. In this study, we examined the application of a two-factor factorial design to determine the significant difference in the mean yield of onion with respect to the effect of fertilizers and plant densities. Primary data (yield of onion) was collected from the Department of Crop science, Faculty of Agriculture, University of Benin. This research work covers only two factors which are fertilizers at three levels (PM, OM and NPK) and plant densities at two levels (LOW and HIGH). The analysis techniques employed was a 2*3 replicated factorial design with 6 replicates per cell. Data collected was analyzed using SPSS version 22. The hypothesis tests were carried out at a (5%) significance level and the decision rule was to reject the null hypothesis if the calculated significance value (p-value) is less than the α (5%). Results from the analyses revealed among others that there is significant difference in the fertilizer effect and plant densities effect on the yield of onion with a significance level of 0.0001 and 0.016 respectively. In addition, there is no significant interaction effect between fertilizers and plant densities with significance value of 0.840 on the yield of onion.
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