Analysis of Variance (ANOVA) Randomized Block Design (RBD) to Test the Variability of Three Different Types of Fertilizers (NPK, UREA and SSP) on Millet Production
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Abstract
This research was undertaken to test the variability of three different types of fertilizers (NPK, UREA and SSP) applied on sub-divided plots of millet farmland. Each fertilizer was applied separately on specific area at equal interval till the harvest period. The aim was to see whether the sub plots could yield the same quantity output or not as a result of the applications of the three fertilizers. The significance test conducted shows that the calculated F-Ratio was 9.18, while the critical value of F-tabulated at a 5% level of significant was 3..89. This is an indication that the Alternative hypothesis (H1) was significant and therefore the Null hypothesis (H0) was rejected. The rejection of the null hypothesis indicates there are differences in the quantities of yields obtained from the sub-divided plots based on the quality of each fertilizer. .pair-wise comparison was conducted using three different methods (Tukey Cramer, Bonferroni and Dunn-Sidak methods) to see where the differences in production outputs lie. It was noticed that Urea was different from fertilizers one (NPK) and three (SSP). This means Urea fertilizer is less effective compared with NPK and SSP which were similar in output.
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