Measurement uncertainty and error propagation

Sean Ward
Stanford University
2018

This set of lessons aims to teach students about error in measurement, how to quantify uncertainty, propagation of uncertainty, and using the slope of the line of best fit. We will use photos of nanoscale materials taken at different magnifications to determine the scale of an image, estimate the error in measurement, then propagate that error through a calculation that depends on the length. After that we will measure circular objects and determine pi using a line of best fit. The final lesson will be a lab determining the density of a substance while accounting for uncertainty in measurement, using the line of best fit to determine the density, then using the evidence to decide the identity of the substance.

Funders

Stanford University