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Hypothesis-based

A scientific or investigative approach that relies on formulating a testable prediction (a hypothesis) to explain a phenomenon or solve a problem. This methodology involves developing a specific, falsifiable statement about the relationship between variables, designing experiments or observations to gather data, analyzing the data to determine if it supports or refutes the hypothesis, and drawing conclusions based on the evidence. hypothesis-based research is central to the scientific method, driving progress in various fields through systematic inquiry and the refinement of knowledge. This approach is structured, evidence-driven and iterative.

Hypothesis-based meaning with examples

  • The research team employed a hypothesis-based approach to understand why the new drug was not as effective in elderly patients. Their hypothesis centered on age-related changes in metabolism. They designed clinical trials to test this hypothesis and then rigorously analyzed patient data. This facilitated understanding of the issue and informed further investigation. The outcome provided critical insights.
  • In the field of paleontology, Dr. Aris' team used a hypothesis-based method to determine the cause of a prehistoric animal extinction event. Their central hypothesis focused on a massive asteroid impact. Through careful analysis of geological records, they sought evidence to either confirm or refute this explanation and found significant data backing up their hypothesis.
  • The engineer proposed a hypothesis-based solution when diagnosing a mechanical issue with the engine. She suggested that a faulty sensor was providing incorrect data. Tests were carried out with the sensor removed and replaced. Results supported the hypothesis, and the engineer proposed a change. With the component changed, testing showed a full return to normal.
  • To improve the efficiency of their software, the development team adopted a hypothesis-based development cycle. They generated a hypothesis about the relationship between code structure and runtime performance. They benchmarked different versions of the code. Results supported changes and the team improved functionality significantly with their process.

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