Option A is correct. a standard comparison of measurements. Regardless of precision and accuracy, all measurements are subject to some degree of uncertainty.
This is due to two things: the measuring device's limitations (systematic error) and the measurement skills of the experimenter (random error). A variance or its square root, which is a standard deviation, is used to measure uncertainty. The term "standard error" is also (and more frequently) used to refer to a statistic's standard deviation. Variability leads to the emergence of uncertainty. The standard deviation serves as the foundation for the definition of standard uncertainty, which is represented by a small u. Here, it's important to emphasize three key aspects of standard uncertainty: Even for non-normally distributed quantities, the standard deviation can be calculated.
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