Processing data, uncertainty and graphical analysis

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By the end you’ll be able to

Process raw experimental data correctly, including unit conversion, use of significant figures, mean values and exclusion of anomalous results only with justification.
Distinguish between accuracy, precision, repeatability, reproducibility, random error and systematic error, and apply these ideas to practical data and methods.

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Plot and interpret suitable graphs, including selection of axes, scales and best-fit lines or curves, and use graphical methods to determine relationships, gradients, intercepts or end-points.

Evaluate the quality of data from scatter, concordance, outliers and uncertainty, and state whether conclusions are supported by the evidence.

Comment on limitations of instruments and procedures, and propose realistic improvements that would reduce uncertainty or improve validity.

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