Phenomena: Are objects or aspects that are known through the senses rather than by thought or intuition. They are something that is observed to occur or to exist. Predictions are made based on observation, experience, or scientific reasoning.
The concordance model is still being perfected. Concordance, are us:
Mathematical models and theories are meant to provide efficient and accurate approximations of physical phenomena. Most advances from the previous science and technology cycles are ignored in the following process. Absolute reality and its properties beyond measurement are all a matter of belief. Physical theories can only describe our knowledge about this reality within measure. Prediction within the standard is mainly attributable to the jurisdiction of scientific theories that deal in discrete or non-discrete measurements. The concordance between a discrete size and some quantitative forecast means that some existence was proven precisely as given by the theory, barring technical fault and interpretive error. With non-discrete results, successful prediction always entails uncertainty in the measured entity’s exact character about the qualities ascribed to it by the model that predicts it. A forecast is an estimation made from observations. For example, you observe which way the wind blows. A hypothesis is not a prediction. Instead, a prediction is derived from a hypothesis. A causal hypothesis cannot become a law. A hypothesis may be proven true or false by testing and experimentation. A theory, on the other hand, is a substantiated explanation for an occurrence.
The first step in the Scientific Method is to make objective observations. Laws describe what will happen in a given situation as demonstrable by a mathematical equation, whereas theories explain how the phenomenon occurs. Rules describe what will happen in a given situation as verifiable by a mathematical equation, whereas theories describe how the phenomenon happens.
The scientific method:
Make an observation. Ask a question. Form a hypothesis or testable explanation. Make a prediction based on the hypothesis. Test the prediction. Iterate: use the results to make new hypotheses or predictions.
There are three major categories of models: concrete models, mathematical models, and computational models. A scientific model is a physical and mathematical, and conceptual representation of a system of ideas, events, or processes. Scientists seek to identify and understand patterns in our world by drawing on their scientific knowledge to offer explanations that enable the predicted patterns.
