You won't need to. Your hypothesis is just your prediction or educated guess. It's okay to be wrong.
both
both
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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.
Neither. The art of precognition is not exact. If your predictions are proven correct it is unnecessary to adjust either your prediction or the observations. apex- false
well, I dont have an opinion about the 2012 prediction????????????? all we need to do is to live each day as if its the last...................... hahahahahahahahaahh
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.
First you need a project, before you can predict the result of that project. Water: is it good for growing plants or not? My prediction: it's good.
prediction. :)
theory- Studying something then making a prediction. Then you study a little bit more and thinking your THEORY was right. so theory and prediction are almost the same thing. Prediction- The difference between theory and prediction is that a prediction is a guess it isn't exactly right but you think it might happen. Evidence- Is what you need to make sure your THEORY is correct.
I don't have the ability to make weather predictions as I rely on pre-existing data. I suggest checking a reliable weather forecasting service for up-to-date and accurate information.