My weather predictions are extremely accurate!
I am a human barometer and I can predict a storm system
arriving in my area about four days prior to the event.
About the only times I am wrong is when the weather system
misses our area by a few miles!
-- Repeat the experiment. If you have the time and money, then five or ten repetitions is an even better idea. -- Compare your results with those of other experimenters. -- Compare your results with the predictions of theory.
Comparing the predicted results with the actual results is known as the forecast error. The purpose of experimentation and statistics is to become better at prediction to reduce the forecast error.
...to make predictions. Scientists will then compare their predictions to what happens in the real world. If their predictions equaled what happened in reality, the model is good. If the predictions were different, the scientists know they have to refine the model to better predict what will happen.
You compare them by their empirical results.
generally speaking, scientists share and compare results in metric units.
Standardization
A minimum of three seismic stations must compare results to locate an earthquakes epicenter.
Control
You make a prediction before experimentation-you predict what will happen. You make an inference after experimentation-you infer the results.
The control is the standard used to compare with the experimental results.
Results compare with the plan and are used for evaluation purposes. This is what will tell if there are new actions needed depending on the goals achieved.
They use predication and hypothesis to compare with the end results, like comparing past knowledge to new. Observation and experimenting is to test out the hypothesis, to discover new theories or even prove old ones right or wrong.