Quantifying experimental error typically involves statistical analysis. Common methods include:
Standard Deviation: Measures the amount of variation or dispersion in a set of values. Error Propagation: Calculates the uncertainty in a result based on the uncertainties in the measurements that contribute to it. Confidence Intervals: Provides a range within which the true value is expected to lie with a certain probability.
