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PDF Mini-Lab 2: Bias and Precision Errors and Accuracy

estimate the total error (uncertainty) of your measurements including both the bias error determined from calibration and the precision error from your dimensional measurements of the unknown based on a 95 confidence level Determine if the aluminum rod is within the manufacture’s tolerance based on your measurements

PDF CHAPTER 1 OVERVIEW: ACCURACY PRECISION AND BIAS IN

To address this situation 40 CFR Part 75 tightened the relative accuracy standard to 10 and subjected RATA data to a bias test specifically designed to detect systematic error 1 3 3 Bias Test Besides being used to calculate relative accuracy the paired RATA data are also used to determine

  • What is the difference between a bias and a precision estimator?

    The average of these multiple samples is called the expected value of the estimator. Bias is a measure of how far the expected value of the estimate is from the true value of the parameter being estimated. Precision is a measure of how similar the multiple estimates are to each other, not how close they are to the true value (which is bias).

  • Does a small precision error mean high accuracy?

    Note that a small precision error does not necessarily mean your measurements have high accuracy, since they may fall close together but far from the true value. Bias errors are errors which have no statistical data associated with them.

  • What does high accuracy mean?

    High accuracy (Figure b) implies that both bias and precision errors are small. In Figure c) bias and precision errors are large and the accuracy is poor. In the example that follows below, a gage block is used to calibrate the measurements of a micrometer.

  • How do I determine bias errors for both measurement devices?

    Using the gage block thickness as the standard value, determine the bias errors for both measurement devices. Hint: these come from the accuracy of your standard, the bias error of the mean value of your measurements relative to the standard value, and the resolution of your measurement device.

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