The writer's use of statistical evidence along with graphs strengthens the argument by providing objective, concrete data, and credibility through APA style citations. Transitions ensure coherence and ease of understanding, while thorough analysis and contextualization highlight the relevance of the evidence to the thesis.
The writer's use of statistical evidence, presented both in text and in graphs, significantly reinforces the argument by providing concrete, quantifiable data that can be evaluated objectively by the reader. Statistics offer a strong appeal to logos, making the argument more persuasive. For instance, when the writer provides specific numbers and references in APA style, it not only gives credibility to the claims but also enhances the reader's trust in the information presented. This factual backing is further strengthened by the strategic use of transitions to link ideas, which ensures the argument's coherence and ease of understanding.
In the case of Lily Tran's thesis development, statistical data underscores the proposed assertions and encourages the reader to see the significance of the issue at hand. Other forms of evidence that could bolster the thesis might include expert testimonies or analogous case studies. Additionally, when the writer synthesizes factual evidence from diverse sources and correlates them to visuals such as graphs, it allows for an integrated understanding of complex ideas like global carbon emissions.
The analysis of evidence is critical. By interpreting and contextualizing the data in relation to the thesis, the writer elucidates the implications of the statistical evidence. A good argumentative essay will not only present the evidence but will analyze and explain it, ensuring that the reader can comprehend its relevance. This thorough explication is capped off by transitions that smoothly guide the reader from one idea to the next, maintaining the flow of the essay, and leading to a conclusion that reinforces the thesis and summarizes the main points, emphasizing the significance of the analysis.