1 / 19

Error in Measurement

Error in Measurement. Error in Measurement. Precision Accuracy Error Types Significant Digits Error Propagation. "Accuracy" means truth. "Precision" means detail. Accuracy. Accurate: measured value very close to actual value. What affects accuracy? How can you improve accuracy?

clancy
Télécharger la présentation

Error in Measurement

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Error in Measurement Error in Measurement Precision Accuracy Error Types Significant Digits Error Propagation

  2. "Accuracy" means truth."Precision" means detail.

  3. Accuracy • Accurate: measured value very close to actual value. • What affects accuracy? • How can you improve accuracy? • Systematic (correctable) errors • Calibration of instrument, e.g. zero and gain

  4. Precision Precise: Multiple measurements close together -What affects precision? - How can you improve precision? • Random errors (not correctable, need trials) • Instrument capabilities

  5. Significant Digits in Measurement • Conveys precision • Rule of thumb: estimate 1 digit • Digital: half of the last digit

  6. Sig Fig Rules • Examples • 7000.00 kg has six: there is a decimal point, so all the digits are significant. • 0.00040 kg has two: there is a decimal point, so the 4 and last 0 count. The other zeros are all "leading". • 208,000 g has three: the 2, the leftmost 0, and the 8. The trailing zeros do not count, since there is no decimal point. • 4440700 km has five: the 4s, the sandwiched 0, and the 7. The trailing zeros do not count, since there is no decimal point. • In scientific notation, significant digits count in the first part of the number.Examples • 5.8 x 10^3 has two significant digits. • 2.00 x 10^-8 has three significant figures.

  7. Sig Fig in calculations 1. If I ran 10.0 m in 2.0 s, how should my speed be rounded off? 2. What if I ran it in 2.01 s? What about 5 sec? 3. What value of force causes a 25.0 kg ball to have an acceleration of 4 m/s^2? 4. If I raise my 36 m flagpole by 20.0 cm, how tall is it? 5.0, 4.98, 2 100, 36

  8. Pendulum Lab Measurements

  9. Reporting error Reporting error • Error: disagreement between measurement and true/accepted value. We don’t always know this. • Uncertainty: refers to measured value, it is the interval within which repeated measurements are expected to lie. • Examples: 5.0 +/- 0.2 cm (absolute) Mean +/- 1 stddev (68%, or about 2/3) 9.8 +/- 2% (relative)

  10. Histograms

  11. Practice

  12. Answers • Answers: • 1) Unknown. Accuracy can only be decided when the true or accepted value is known. Every value above is as likely as any other value. • 2) Group C: The measurements of this group are very close to each other (repeatable). Individual measurements in Group B have greater precision but they do not agree with each other as closely as Group C. • 3) Unknown. Error can only be decided when the true/accepted value is know. We may suspect error for measurements such as 8.01 cm or 12.18 cm but unless we observe a clear mistake in measurement method we must accept all values here on the same basis. • 4) Group D: The average variation in measurements from this group is nearly 1 cm, almost 3 times more than any other group. (read about average deviation) • ============== • 5) Group C: While they are the most consistent set presented, they are consistently far away from the accepted value. • 6) Group D: Precision refers to the data set itself, not to the comparison between the data and the accepted value. The values for Group D do not agree with each other very well. • 7) Group A: This data shows a pretty wide scatter of values but the average is closer to the accepted value than for any other group. • 8) Group C: Uncertainty is not changed by knowledge of the accepted value. This group has the least variation so the least uncertainty. Here you see a clear difference between uncertainty and error.

  13. Practice

  14. Error Propagation Spirit Travel Example: Length = 4825 +/- 5 m Stop at 3260 +/- 10 m How far to go? 1565 m, +/- ?? Can calculate extremes: 1580 and 1550 m Or add uncertainty Either way, get 1565 +/- 15 m General rules For sum and diff: add absolute errors For Product/Quotient: add relative errors For Powers: relativeerror of the original quantity times the power.

  15. Practice You measure the following quantities: A = 1.0 m ± 0.2 m, B = 2.0 m ± 0.2 m, C = 2.5 m/s ± 0.5 m/s, D = 0.10 s ± 0.01 s. Choose the correct answers for the following expressions: A + B = 3.0 m ± 0.0 m 3.0 m ± 0.2 m 3.0 m ± 0.4 m B − A = 1.0 m ± 0.0 m 1.0 m ± 0.2 m 1.0 m ± 0.4 m C × D = 0.25 m ± 0.05 m 0.25 m ± 0.08 m 0.25 m ± 0.51 m B / D = 20. m/s ± 4 m/s 20. m/s ± 10 m/s 20. m/s ± 20 m/s 3 × A = 3.0 m ± 0.2 m 3.0 m ± 0.3 m 3.0 m ± 0.6 m The square root of (A × B) = 1.4 m ± 0.1 m 1.4 m ± 0.2 m 1.4 m ± 0.4 m Answers: ________________________________________ A + B = 3.0 m ± 0.4 m B − A = 1.0 m ± 0.4 m C × D =0.25 m ± 0.08 m B / D = 20. m/s ± 4 m/s 3 × A = 3.0 m ± 0.6 m The square root of (A × B) = 1.4 m ± 0.2 m

More Related