"refute" means to prove to be false or erroneous.
Therefore you should abandon your hypothesis because it is wrong.
A hypothesis is refuted when empirical evidence or experimental results consistently contradict its predictions. This can occur through rigorous testing and observation, where data fails to support the hypothesis' claims. If alternative explanations are more consistent with the evidence, or if the hypothesis cannot be reliably replicated, it is considered refuted. Ultimately, a refuted hypothesis prompts scientists to revise their understanding or develop new hypotheses.
A testable explanation that is supported or refuted is called a hypothesis.
A hypothesis based on observations must be testable and falsifiable, meaning it can be supported or refuted through experimentation or further observation. It should be grounded in existing knowledge and provide a clear explanation for the observed phenomena. Additionally, a good hypothesis should be specific enough to guide research and predict outcomes.
A testable explanation that is supported or refuted is called a hypothesis. In scientific research, a hypothesis provides a proposed explanation for a phenomenon that can be tested through experimentation and observation. Based on the results, it can either be accepted, rejected, or modified.
A good hypothesis should be testable and falsifiable, meaning it can be supported or refuted through experimentation or observation. It should also be specific and clear, articulating a precise relationship between variables. Additionally, a strong hypothesis is grounded in existing knowledge and theories, providing a rationale for its predictions. Lastly, it should be concise, allowing for straightforward interpretation and investigation.
A hypothesis is refuted when empirical evidence or experimental results consistently contradict its predictions. This can occur through rigorous testing and observation, where data fails to support the hypothesis' claims. If alternative explanations are more consistent with the evidence, or if the hypothesis cannot be reliably replicated, it is considered refuted. Ultimately, a refuted hypothesis prompts scientists to revise their understanding or develop new hypotheses.
A testable explanation that is supported or refuted is called a hypothesis.
Your prediction is what supports your hypothesis.
No. A hypothesis is an educated guess, based on observation. Usually, a hypothesis can be supported or refuted through experimentation or more observation. A hypothesis can be disproven, but not proven to be true.
A hypothesis based on observations must be testable and falsifiable, meaning it can be supported or refuted through experimentation or further observation. It should be grounded in existing knowledge and provide a clear explanation for the observed phenomena. Additionally, a good hypothesis should be specific enough to guide research and predict outcomes.
A testable explanation that is supported or refuted is called a hypothesis. In scientific research, a hypothesis provides a proposed explanation for a phenomenon that can be tested through experimentation and observation. Based on the results, it can either be accepted, rejected, or modified.
A good hypothesis should be testable and falsifiable, meaning it can be supported or refuted through experimentation or observation. It should also be specific and clear, articulating a precise relationship between variables. Additionally, a strong hypothesis is grounded in existing knowledge and theories, providing a rationale for its predictions. Lastly, it should be concise, allowing for straightforward interpretation and investigation.
The hypothesis must be able to be proved true or false.
A hypothesis is a testable statement or prediction that proposes a potential explanation for a phenomenon, often formulated based on existing knowledge or observations. Key features of a hypothesis include clarity, specificity, and testability; it should be stated in a way that allows for empirical investigation. Additionally, a good hypothesis is often grounded in theory and can be supported or refuted through experimentation or observation.
A basic requirement of a hypothesis is that it must be testable and falsifiable, meaning it can be supported or refuted through experimentation or observation. Additionally, it should be clear and specific, outlining the expected relationship between variables. This allows researchers to design experiments that can effectively validate or invalidate the hypothesis.
After making a hypothesis, the next step in the scientific method is to conduct an experiment to test the hypothesis. This involves collecting data and analyzing results to determine if the hypothesis is supported or refuted.
A good hypothesis should be testable and falsifiable, meaning it can be supported or refuted through experimentation or observation. It should also be specific and clear, allowing for precise predictions about outcomes. Additionally, a strong hypothesis is grounded in existing knowledge and literature, providing a rationale for its formation. Finally, it should be concise, capturing the essence of the research question without unnecessary complexity.