The collection of data is an important part of all laboratory work,
and interpreting the data is the major part of a laboratory report.
Laboratory 0 presents a brief overview of techniques and concepts
needed to estimate and analyze the errors inherent in experimental
work. Although formal error analysis is optional for laboratory
reports in this class, you will need to be familiar with its basic
principles while writing your reports.
Concepts you should be familiar with (and apply when needed) include
accuracy and precision, systematic and random error, error propagation,
absolute and relative error, and significant figures. If you would
like a more detailed discussion of error analysis, a good reference
is An Introduction to Error Analysis by John R. Taylor.