Science, Measurement, Uncertainty and Error1 Science, Measurements, Uncertainty and Error.

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Presentation transcript:

Science, Measurement, Uncertainty and Error1 Science, Measurements, Uncertainty and Error

Science, Measurement, Uncertainty and Error2 Measurement and Uncertainty Most experiments require scientists to make measurements. Measurements are rarely exactly the same. Measurements are always somewhat different from the “true value.” These deviations from the true value are called errors.

Science, Measurement, Uncertainty and Error3 Sources of Error Two sources of error in a measurement are –limitations in the sensitivity of the instruments –imperfections in experimental design or measurement techniques Errors are often classified as: –Random –Systematic

Science, Measurement, Uncertainty and Error4 Random Errors ALWAYS present. Measurements are often shown as: Measurement ± Random Error Sources: –Operator errors –Changes in experimental conditions How to minimize them? –Take repeated measurements and calculate their average.

Science, Measurement, Uncertainty and Error5 Systematic Errors Sources: –Instrumental, physical and human limitations. Example: Device is out-of calibration. How to minimize them? –Careful calibration. –Best possible techniques. Are TYPICALLY present. Measurements are given as: Measurement + Systematic Error OR Measurement - Systematic Error

Science, Measurement, Uncertainty and Error6 Precision and Accuracy in Measurements Precision How reproducible are measurements? Accuracy How close are the measurements to the true value.

Science, Measurement, Uncertainty and Error7 Dartboard analogy Imagine a person throwing darts, trying to hit the bulls-eye. Not accurate Not precise Accurate Not precise Not accurate Precise Accurate Precise

Science, Measurement, Uncertainty and Error8 Precision of a Measurement The last digit is an estimate. The precision is limited by the instrument. Measurement ≈ cm

Science, Measurement, Uncertainty and Error9 Scientific Data The precision and accuracy are limited by the instrumentation and data gathering techniques. Scientists always want the most precise and accurate experimental data.

Science, Measurement, Uncertainty and Error10 Dealing with Errors Identify the errors and their magnitude. Try to reduce the magnitude of the error. HOW? –Better instruments –Better experimental design –Collect a lot of data

Science, Measurement, Uncertainty and Error11 Bad news… No matter how good you are… there will always be errors. The question is… How to deal with them? STATISTICS