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

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

False


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

both


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

both


Prediction need to change when?

observations change


If your prediction is proven correct should you leave out all obeservations that don't support your prediction or simply change your prediction.?

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


How does observed evolutionary change support the scientific theory of evolution?

The theory predicts that evolution will happen and in certain ways. The observed evolution makes this prediction correct. It also defines evolution as happening, and as such is perfect evidence in support of it.


When an observation changes the should change too.?

prediction


What are 3 observations that are signs of a change?

cool


When do predictions need to be revised?

observations change.


How do you change word incorrect into abstract noun?

The abstract noun form for the adjective incorrect is incorrectness.


What are two observations you might make when a physical change occurs?

change in shape and color.


If your experiment does not support your hypothesis you should change your data to give support to the hypothesis. true or false?

False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.