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Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc. Introduction to Engineering Design
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Page 1: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Accuracy and Precision

of Measurement

© 2012 Project Lead The Way, Inc.Introduction to Engineering Design

Page 2: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Recording Measurements

• A measurement always includes a value• A measurement always includes units• A measurement always involves

uncertainty– A measurement is the best estimate of a

quantity– A measurement is useful if we can quantify

the uncertainty

Page 3: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Sources of Error in Measurement

• Potential errors create uncertainty• Two sources of error in measurement

– Random Error• Errors without a predictable pattern• E.g., reading scale where actual value is between

marks and value is estimated• Can be determined by repeated measurements

– Systematic Error• Errors that consistently cause measurement value

to be too large or too small• E.g., reading from the end of a meter stick instead

of from the zero mark

Page 4: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Uncertainty in Measurements• Scientists and engineers often use significant

digits to indicate the uncertainty of a measurement– A measurement is recorded such that all certain digits

are reported and one uncertain (estimated) digit is reported

Page 5: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Uncertainty in Measurements

• Another (more definitive) method to indicate uncertainty is to use plus/minus notation

– Example: 3.84 ± .05 cm • 3.79 ≤ true value ≤ 3.89• This means that we are certain the true

measurement lies between 3.79 cm and 3.89 cm

Page 6: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Uncertainty in Measurement

• In some cases the uncertainty from a digital or analog instrument is greater than indicated by the scale or reading display– Resolution of the instrument is better than the

accuracy• Example: Speedometers

How can we determine, with confidence, how close a measurement is to the true value?

Page 7: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Uncertainty in Measurement

• Uncertainty of single measurement− How close is this measurement to the true value?− Uncertainty dependent on instrument and scale

• Uncertainty in repeated measurements− Random error− Best estimate is the mean of the values

Page 8: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Accuracy and Precision

• Accuracy = the degree of closeness of measurements of a quantity to the actual (or accepted) value

• Precision (repeatability) = the degree to which repeated measurements show the same result

High AccuracyLow Precision

Low AccuracyHigh Precision

High AccuracyHigh Precision

Page 9: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Accuracy and Precision• Ideally, a measurement device is both accurate

and precise• Accuracy is dependent on calibration to a

standard– Correctness– Poor accuracy results from procedural or equipment

flaws– Poor accuracy is associated with systematic errors

• Precision is dependent on the capabilities of the measuring device and its use– Reproducibility– Poor precision is associated with random error

Page 10: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Your Turn

Two students each measure the length of a credit card four times. Student A measures with a plastic ruler, and student B measures with a precision measuring instrument called a micrometer.

Student A Student B85.1mm 85.701 mm

85.0 mm 85.698 mm

85.2 mm 85.699 mm

84.9 mm 85.701 mm

Page 11: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Your TurnPlot Student A’s data on a number line

Student A Student B85.1mm 85.301 mm

85.0 mm 85.298 mm

85.2 mm 85.299 mm

85.1 mm 85.301 mm

Plot Student B’s data on a number line

Page 12: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Your TurnStudent A’s data ranges from 85.0 mm to 85.2 mm

Student B’s data ranges from 85.298 mm to 85.301 mm

The accepted length of the credit card is 85.105 mm

85.1

05

Accepted Value

Page 13: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Your Turn

Which student’s data is more accurate?

Which student’s data is more precise?

Student A

Student B

Page 14: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Quantifying Accuracy

Error = measured value – accepted valuemean of

s

Student A Student B85.1mm 85.301 mm

85.0 mm 85.298 mm

85.2 mm 85.299 mm

85.1 mm 85.301 mm

Student A:

A = 85.10 mm

Student B:

B = 85.2998 mm

The accuracy of a measurement is related to the error between the measurement value and the accepted value

Page 15: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Quantifying Accuracy

Calculate the error of Student A’s measurementsError A = mean of measured values – accepted value

Error A = 85.10 mm – 85.105 mm = − 0.005 mm

A =

85

.10

85.1

05

Error- 0.005

Acc

ep

ted

V

alu

e

Page 16: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Quantifying Accuracy

A =

85

.10

Acc

ep

ted

V

alu

e85

.105

Error- 0.005 Error

0.1948

B=

85

.299

8

Calculate the error of Student B’s measurementsError B = mean of measured values – accepted value

Error B = 85.2998 mm – 85.105 mm = 0.1948 mm

Page 17: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Error|0.1948|= 0.1948

Quantifying Accuracy

A =

85

.10

Acc

ep

ted

V

alu

e85

.105

Error- 0.005 Error

0.1948

B=

85

.299

8

Calculate the error of Student B’s measurementsError B = mean of measured values – accepted value

Error B = 85.2998 mm – 85.105 mm = 0.1948 mm

Error|- 0.005|= 0.005

Page 18: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Error|0.1948|= 0.1948

Quantifying Accuracy

A =

85

.10

Acc

ep

ted

V

alu

e85

.105

Error- 0.005 Error

0.1948

B=

85

.299

8

Calculate the error of Student B’s measurementsError B = mean of measured values – accepted value

Error B = 85.2998 mm – 85.105 mm = 0.1948 mm

Error|- 0.005|= 0.005

Student AMORE ACCURATE

Page 19: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Quantifying Precision

Precision is related to the variation in measurement data due to random errors that produce differing values when a measurement is repeated

Page 20: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Quantifying Precision

Student A Student B85.1mm 85.301 mm

85.0 mm 85.298 mm

85.2 mm 85.299 mm

85.1 mm 85.301 mm

Student A: sA= 0.08 mm

Student B: sB = 0.0015 mm

The precision of a measurement device can be related to the standard deviation of repeated measurement data

Page 21: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Quantifying Precision

Use the empirical rule to express precision• True value is within one standard deviation of the

mean with 68% confidence• True value is within two standard deviations of the

mean with 95% confidence

Page 22: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Quantifying Precision

Express the precision indicated by Student A’s data at the 68% confidence level• True value is 85.10 ± 0.08 mm with 68%

confidence 85.10 − 0.08 mm ≤ true value ≤ 85.10 + 0.08 mm

Student A:

A= 85.10 mmsA= 0.07 mm

85.02 mm ≤ true value ≤ 85.18 mm with 68% confidence

Page 23: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Quantifying Precision

Express the precision indicated by Student A’s data at the 95% confidence level• True value is 85.10 ± 2(0.08) mm with 95%

confidence 85.10 − 0.16 mm ≤ true value ≤ 85.10 + 0.16 mm

Student A:

A= 85.10 mmsA= 0.07 mm

84.94 mm ≤ true value ≤ 85.26 mm with 95% confidence

Page 24: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

The Statistics of Accuracy and Precision

A B

C D

High AccuracyHigh Precision

Low AccuracyLow Precision

High AccuracyLow Precision

Low AccuracyHigh Precision

Page 25: Accuracy and Precision of Measurement © 2012 Project Lead The Way, Inc.Introduction to Engineering Design.

Gauge Blocks (Gage Blocks)

• A block whose length is precisely and accurately known Standard = basis of comparison

• Precision measuring devices are often calibrated using gauge blocks Calibrate = to check or adjust by

comparison to a standard


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