Essential idea: Scientists aim towards designing experiments that can give a "true value" from their measurements, but due to limited precision in measuring devices, they often quote their results with some form of uncertainty.
Understandings: Absolute, fractional and percentage uncertainties
Applications and skills: Explaining how random and systematic errors can be identified and reduced; Collecting data that include absolute and/or fractional uncertainties and stating these as an uncertainty range (expressed as: best estimate ± uncertainty range); Propagating uncertainties through calculations involving addition, subtraction, multiplication, division and raising to a power
Data booklet equations:
Oxford Physics: pages 11 - 14, with good worked examples
Hamper HL (2014): pages 8 - 24. Hamper goes through this topic in a slightly different path than I do, but those pages are a comprehensive look at this whole topic.
Hamper SL (2014): pages 8 - 24. Hamper goes through this topic in a slightly different path than I do, but those pages are a comprehensive look at this whole topic.
pages 16 - 18