## 3 Result and Discussion
### Analysis of the Tensile Test Data using Weibull Distribution  
When lignocellulosic fibers are tested, a considerable diversity of mechanical properties is frequently seen. To properly appreciate the impacts generated by fiber placements along the length within the tensile strength data, the Weibull distribution function was applied to the data. The Weibull modulus (m) corresponds with the slope of the plot and the characteristic strength (\(\sigma\)0) can be calculated based on the intersection with the \(y\)-axis via linear regression. If F denotes the probability of failure at stress \(\sigma\), the two-parameter Weibull distribution function expresses the cumulative distribution functions. Figure 8: The work of rupture covered by force versus elongation. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Fiber Portions** & \(L^{*}\) & \(a^{*}\) & \(b^{*}\) & \(\Delta E\) \\ \hline EV-I & 81.78 & 0.945 & 8.75 & 4.11 \\ \hline EV-II & 83.28 & 0.72 & 9.475 & 4.52 \\ \hline EV-III & 82.365 & 0.96 & 10.945 & 4.23 \\ \hline EV-IV & 77.945 & 1.24 & 12.21 & 11.68 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: CIE Lab values of fiber portions. A straight line should be found when \(\ln(\sigma)\) is plotted against \(\ln(\ln(1-\mathrm{F}))\), where \(p\) is the probability of failure at each portion of EV-I, EV-II, EV-III, and EV-IV along the length of the Enset bundle fiber. The Weibull distribution statistical analysis gives the Weibull modulus (\(\beta\)), the predicted value of Tenacity (cN/Tex), and the coefficient of variations (CV) for the fiber portions EV-I, EV-II, EV-III, and EV-IV, as shown in Table 4 and Figure 10. The analysis indicates that the tensile strength increased around the portion EV-II and slightly decreased around the portion of the bundle fibers EV-III and EV-IV. The Weibull modulus gives a higher value in the fiber section EV-II and the minimum value for the fiber section EV-IV. Similarly, the coefficient of variation is at its minimum at the fiber portion EV-II and maximum at the top portion of the fiber EV-IV. The Weibull distribution's coefficient of variation is solely a function of the Weibull modulus, with the relation \(=1/\beta\), the measure of the strength distribution, fluctuating between 0.05 and 0.5. In Figure 10, it can be seen that the higher the Weibull modulus in the case of fiber portion EV-II, the more homogeneous the material is, and the stress to cause failure at a given probability value will be higher. Therefore, in terms of the fiber portions, the Weibull modulus can thus be used as an indirect parameter to verify if the location of the fiber along the length affects the tenacity of the Enset fiber. Overall, in the Weibull cumulative failure probability curve, the graph inclination shows the Weibull modulus. Remarkably, when the Weibull modulus is large, the variation in strength is small, and the reliability of the material is excellent. The Weibull distribution for the fiber portion EV-II has a narrower distribution than the Weibull distribution for the other portions. The EV-I showed the next highest value while EV-IV showed the lowest \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Parameters** & \multicolumn{4}{c}{**Fiber Locations**} \\ \hline
**GL at 250 mm** & **EV-I** & **EV-II** & **EV-III** & **EV-IV** \\ \hline \(\sigma\) (CN/Tex) & 49.2 & 57.4 & 52.8 & 38.5 \\ \hline Std & 20.9 & 20 & 10.5 & 18.5 \\ \hline COV & 0.38 & 0.32 & 0.38 & 0.54 \\ \hline (\(\beta\)) & 2.91 & 3.62 & 2.792 & 2.024 \\ \hline \((\sigma_{\mathrm{o}})_{\mathrm{cN/Tex}}\) & 55.17 & 63.68 & 59.46 & 43.28 \\ \hline \hline \end{tabular} Note: \(\sigma\)—tenacity; Std—Standard deviation; COV—coefficient variation; (\(\beta\))—Weibull modulus; (\(\mathrm{o}\))cN/Tex—experimental value.  
\end{table} 
Table 4: Comparison of fiber tenacity (cN/Tex) by Weibull distribution. Figure 9: CIE Lab values of fiber portions along the length. value. The Weibull modulus of the EV-II was larger (m = 3.63) than that of the other portions.