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If your prediction is proven incorrect your should leave out all observations that don't support your prediction or simply change your prediction?

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If your prediction is proven incorrect you should leave out all observations that don't support your prediction or simply change your prediction?

It is not scientifically valid to selectively ignore information that contradicts a prediction or change a prediction based on preconceived beliefs. It is important to consider all evidence, even if it goes against the initial prediction, in order to draw valid conclusions and refine future predictions. This approach is fundamental to the scientific method and ensures the integrity of the research process.


Did Luke's result support his prediction?

To determine if Luke's result supported his prediction, we would need to compare the actual outcomes of his experiment or observations with the expectations he set forth in his hypothesis. If the results aligned with what he predicted, then they would indeed support his prediction. Conversely, if the outcomes differed significantly from his expectations, it would suggest that his prediction was not supported. Without specific details on Luke's prediction and results, it's difficult to provide a definitive answer.


If your prediction is proven incorrect you should leave out all observations that dont support your prediction or simply change your prediction?

It is important to acknowledge and learn from incorrect predictions by analyzing all observations, including those that don't support the prediction. Changing a prediction based on new information or adjusting the underlying assumptions is a valid practice to improve future predictions. Transparently documenting the rationale behind the change helps maintain credibility and ensures a more accurate predictive model.


Make sentence about prediction?

my prediction about the bowling ball falling first was true.