Learning tasks are a great motivation tool in chemistry teaching, necessary in the exposure and fixation part of a teaching process, and also often used when diagnosing the depth and type of student knowledge. Our research analysed the relationship between the student assessment in chemistry and their success in solving memory, algorithmic and conceptual tasks at symbolic, submicroscopic and macroscopic levels. The testing focused on chemical equilibrium, because this topic is appropriate to design and test the tasks. The collected data was evaluated by one-factor ANOVA analysis. We expected that, in comparison to average and weak learners, the excellent ones should be significantly more successful in tackling all the types of tasks and at all levels. However, our findings indicate that this assumption is invalid in the case of conceptual tasks, i.e. the understanding the depth of chemical concepts does not always correlate with the student assessment.
The research aimed to assess Supply Chain Management (SCM) in small and medium enterprises in Kazakhstan and Poland, and, more specifically, identify similarities and differences in the approach to the SCM concept in selected countries. The research methodology was based on ANOVA analysis comparing samples of contemporary SMEs operating in Poland and Kazakhstan. Primary data was collected using the CAWI quantitative method and then studied using the ANOVA statistical data analysis method. The research results demonstrated similar involvement in the implementation of the concept with significant differences in some areas, such as cost reduction and focus on end customers. The concept of Supply Chain Management is a very common subject of theoretical and practical analysis. Even though research efforts in this area indicate the positive effects of the implemented concept, most of them concern large organisations. The research results showed similar involvement in the implementation of the concept, although significant differences were found in selected areas, such as cost reduction and focus on end customers.
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This paper presents an investigation of impact strength of sponge gourd, coir, and jute fibers reinforced epoxy resin-based composites. Impact strength of specimens, made of composites with various proportions of wt% ratio of resin and hardener, wt% of resin and hardener, wt% ratio of sponge gourd and jute, wt% ratio of sponge gourd and coir, was measured. Design of experiment was done by Taguchi method using four control factors with three levels. Effect of the above control factors on impact strength was examined and the best combinations of control factors are advised. Confirmation test was performed by using this combination and the percentage of contribution of the above factors on impact strength was investigated by Analysis of Variance (ANOVA). Contour and interaction plots provide helpfully examines to explore the combined influences of different control factors on output characteristics. The regression equation represents a mathematical model that relates control factors with impact strength.
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Friction Stir Welding (FSW) was carried out on Aluminum Alloy 6082-T6 plates with dimensions of 200 x 70 x 2 mm. Design of Experiment (DOE) was applied to determine the most important factors which influence the Ultimate Tensile Strength (UTS) and Hardness (HV) of AA 6082-T6 joints produced by Friction Stir Welding (FSW). Effect of two factors which include tool rotational speed and welding speed on (UTS, HV) were investigated by Taguchi method using L9 orthogonal array to find the optimum process parameters. An analysis of variance (ANOVA) was carried out to determine which of the selected factors are more significant on both of responses, the optimum parameters for the higher UTS it found by using a rotational speed of 1400 rpm and 125 mm/min for the welding speed, also 1400 rpm and 160 mm/min to maximize Hardness (HV).
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