1. Numerical approximation involves finding approximate values that are close to the actual values of quantities. There are different types of errors that can occur due to approximation, such as truncation error and rounding error. 2. Accuracy refers to how close an approximate value is to the actual value, while precision describes how close repeated approximations are to each other. Greater accuracy means a lower absolute error, while greater precision means a lower standard deviation between repeated measurements. 3. For a numerical method, convergence means that repeated approximations get closer to the actual value with each iteration. Stability refers to the likelihood that a method will converge rather than diverge for a wide range of problems.