Any measuring device that makes an indirect measurement to come up with a supposedly accurate answer relies on calibration for accuracy. For example, an electronic laboratory balance measures changes in electrical resistance in “load cells” and is calibrated to correlate particular resistance measurements with the weight that caused the changes. Your task is to select or create an appropriate measurement device and produce a formula that will enable that device to make accurate (or more accurate) measurements. Make a series of measurements (preferably at least 20 if possible) against accurately known standards. You can either use the raw data (like the balance resistance measurements, if you can get at them) or the measurement the device produces (like the weight shown on the balance display). If you use the measurements the device produces, it would be best if you use a device that you suspect is not giving very accurate measurements, and your formula will enable you to improve its accuracy. Graph the measurements against the standards and determine a formula that would best enable you to make accurate measurements or correct the answers the device gives. Log transform the data if necessary. Produce a graph showing the Olympic Games gold medal times for the men’s 100 metre sprint event from as far back as you can find to 2012. Use the Excel Chart Labeler Add-In to enter the names of the athletes on the graph.
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