| Summary: | In this paper, statistical inferences in material selection of polymer matrix for natural fiber
composite are presented. Hypothesis testing and confidence interval were used to evaluate the suitability of the sample for use as a matrix in natural fiber reinforced composites. The screening process for
material selection was carried out using a stepwise regression method. Then, the ranking process in material selection was conducted using an estimation of performance score (PS) for mechanical properties
such as impact strength (IS), elongation at break (E) and tensile strength (TS). Ten types of polymer
were involved in the study. The final selection revealed that polyamide (PA6), polyurethanes (PUR) and
polypropylene (PP) are the potential candidates to manufacture hand-brake levers according to IS, E and
TS, respectively. Here, it was found that the score for Tp (thermoplastic) is better than Ts (thermoset) in
terms of IS. In contrast, the Ts offered a better score result than, Tp, with respect to E and TS. The results
of statistical measurements using statistical modelling prove that the data analysis can be used as a part
of the decision making in material selection.
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