Lab Report: Error Analysis & Limits of the Model
There are two types of general error data can have: random error (where values are randomly too large or two small with no overall pattern) and systematic error (where values are all too large, or all too small). We can learn to identify what type of error is present and what that implies about other parts of the lab.
A limit of the model is a real world situation that would make the prediction equation you get for the lab invalid. For example, you may get an equation for the stretch of a spring with a mass on the end that says stretch (m) = 0.5 m/kg x mass (kg), which means that for every kg of mass added to the end of a spring, it will stretch by another 0.5 meters. This could predict the stretch for small masses, but we know that if we added a 1000,000 kg object to the end of the spring, it would break, so the equation does not accurately predict what will happen for extreme masses, since it says the spring would have a stretch of 500,000 m. We would say that a limit of the model is that after a certain amount of mass, the spring will deform or break.
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