Uncertainty, errors, conclusions and evaluation

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By the end you’ll be able to

estimate measurement uncertainty from the scale, resolution or spread of repeated readings and express absolute or percentage uncertainty where appropriate
distinguish between random errors and systematic errors and explain their effects on data
identify anomalous results and decide when repeating or excluding a reading is justified

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evaluate the validity, precision, repeatability and reproducibility of an investigation

suggest specific improvements to apparatus, method or control of variables that would reduce uncertainty or improve validity

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