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Measurement Module 1: Measurements & Error Analysis
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Measurement

Jan 03, 2016

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Measurement. Module 1: Measurements & Error Analysis. Module Objectives. Define ‘measurement’. Give examples of measurement applications in the physical world. Identify measurement elements. Differentiate between the types of measurement. Differentiate between systematic and random errors. - PowerPoint PPT Presentation
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Page 1: Measurement

MeasurementModule 1: Measurements & Error Analysis

Page 2: Measurement

Module Objectives• Define ‘measurement’.• Give examples of measurement applications in the

physical world.• Identify measurement elements.• Differentiate between the types of measurement.• Differentiate between systematic and random errors.• Perform statistical error analysis on a set of

measurements.• Define the major characteristics of an

instrument/device and determine them through experiments.

• Describe the concept of ‘calibration’.

Page 3: Measurement

Example of things that you measure this morning?

Page 4: Measurement

Introduction to Measurement•What do we measure?

• Physical dimension of an object• Count of objects• Temperature of an object• Fluid pressure/flow rate/volume• Electrical voltage, current, resistance• Machine position/speed and so on.

Page 5: Measurement
Page 6: Measurement

Measurement - Definition

•Measurement is the process of determining the magnitude of a physical quantity such as length or mass, relative to a standard unit of measurement, such as the meter

•It could also be defined as ‘the comparison between a standard and a physical quantity to produce a numeric value’

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Activity

•Find the meaning of standard unit, physical quantity and numeric value

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Page 9: Measurement

•The measuring devices could be sensors, transducers or instruments.• ruler - length; • thermometer - temperature; • light dependent resistor (LDR) - light intensity

Page 10: Measurement

Questions

• Physical quantity: ___________________• Measuring device: ___________________• Numeric value: _____________________• Standard unit: _____________________

Page 11: Measurement

Questions

•Physical quantity: ___________________•Measuring device: ___________________•Numeric value: _____________________•Standard unit: ______________________

Page 12: Measurement

Online Activity:

•http://kent.skoool.co.uk/content/keystage3/Physics/pc/learningsteps/FCDLC/launch.html

Description of the measurement process

Physical Quantity

Numeric value

Standard Unit

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Measurement Types

•Two basic methods of measurement :

• Direct Measurement• Indirect Measurement

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Direct Measurement

•the physical quantity or parameter to be measured is compared directly with a standard

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Indirect Measurement

•the physical quantity (measurand) is converted to an analog form that can be processed and presented. (Obtained by measuring other quantities.)

•E.g. the mercury in the mercury thermometer expands and contracts based on the input temperature, which can be read on a calibrated glass tube.

Page 16: Measurement

Picture Measurement type

Dimension measurement

Dimension measurement

Measuring blood pressure

Page 17: Measurement

Measurement Errors and Analysis

Page 18: Measurement

What is an error?

Page 19: Measurement

Error definition

•Error = Instrument reading – true value.

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Error types

•Systematic Error•Random Error

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ActivityDifference between Systematic Error and Random Error

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Systematic Error

•Happens because of: zero error of the instrument, the shortcomings of the sensor, improper reading of the instrument due to

the improper position of the person’s head/eye (Parallax error),

the environmental effect,• Can be corrected by calibration

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Systematic Error

Page 24: Measurement

Random errors•errors that result in obtaining different

measured values when repeated measures of a physical quantity are taken.

•E.g.measuring the mass of gold on an electronic scale several times, and obtaining readings that vary in a random fashion

•reasons for random errors are not known and therefore they cannot be avoided.

•They can only be estimated and reduced by statistical operations.

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Error Analysis

•The two most important statistical calculations that could be used for the analysis of random errors are ▫average or mean ▫standard deviation

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Part 2

Page 27: Measurement

Objective

•Perform statistical error analysis on a set of measurements.

•Define the major characteristics of an instrument/device and determine them through experiments.

•Describe the concept of ‘calibration’.

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Warm Up

•What is measurement?•Measurement is the process of

determining the magnitude of a physical quantity such as length or mass, relative to a standard unit of measurement

Page 29: Measurement

Warm-up•Name two basic methods of measurements

• Direct Measurement▫ the physical quantity or parameter to be

measured is compared directly with a standard

• Indirect Measurement▫ the physical quantity (measurand) is

converted to an analog form that can be processed and presented

Page 30: Measurement

Warm up

Physical Parameters

Standard

Numeric valueMeasuring device

Page 31: Measurement

Define error?

•Error = Instrument reading – true value

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Warm up

•Give two error types:▫Systematic Error▫Random Error

Page 33: Measurement

Name the error

•Can we correct the error?

Parallax Error Zero Error

Page 34: Measurement

What is random error?

•errors that result in obtaining different measured values when repeated measures of a physical quantity are taken.

•How do we reduce the error?•statistical operations – mean, Standard

deviation•Give example

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Mean/ Average

•The average/mean gives an estimate of the ‘true’ value.

Page 36: Measurement

Example: Mean

•suppose the mass of gold was recorded at different instants as in the table

•The mean/average???

Reading 1 Reading 2 Reading 3 Reading 4 Reading 5

10g 10.2g 10.3g 10.1g 10.4g

Page 37: Measurement

Standard Deviation

•Symbol is ‘σ’ •Shows how much the individual readings

deviate or differ from the average/mean of the set of readings.

Page 38: Measurement

Example: SD•For the set of readings 16, 19, 18, 16, 17,

19, 20, 15, 17 and 13 the mean value or average is ??Readings (Reading – average) (Readings – average)2

16 16-17 = -1 1

19 19-17 = 2 4

18 18-17 = 1 1

16 16-17 =-1 1

17 17-17 =0 0

19 19-17 =2 4

20 20-17 =3 9

15 15-17 =-2 4

17 17-17 =0 0

13 13-17 =-4 16

Sum 40

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Formula for SD

•Standard deviation, •σ = √sum/(n-1) •‘n’ is the number of terms.

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Exercise• Suppose a lab refrigerator holds a constant

temperature of 38.0 F. Two groups of students are taking the reading for 10 times in each group. The temperatures from the test yield the temperatures of as shown below.

• Group A: 39.4, 38.1, 39.3, 37.5, 38.3, 39.1, 37.1, 37.8, 38.8, 39.0.

• Group B: 37.8, 38.3, 38.1, 38.0, 37.6, 38.2, 38.0, 38.0, 37.4, 38.3

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Lab Activity 1

Page 42: Measurement

Characteristics of Instrument

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Activity

•Find any information on the following from the internet:▫Precision▫Accuracy▫Range▫Sensitivity▫Linearity

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Precision:

•The ability of an instrument to give the similar reading when the same physical quantity is measured more than once.

•The closer together a group of measurements are, the more precise the instrument.

•A smaller standard deviation result indicates a more precise measurement.

Page 45: Measurement

Accuracy

•Accuracy of an instrument is how close a measured value is to the true value.

•The measurement accuracy is calculated using the percentage error formula.

•% Error =

Page 46: Measurement

Range:

• The range of an instrument defines the minimum and maximum values that the instrument can measure. Example:

• The maximum reading of the thermometer is: 120o

F• The minimum reading of the thermometer is: 40o F• Range= Maximum reading – Minimum

reading • = 120 -40 • = 80o F

Page 47: Measurement

Sensitivity:

•The sensitivity of a measuring instrument is its ability to detect small changes in the measured quantity.

•Sensitivity = Change in Output / Change in Input

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Linearity

•Some measuring instruments/devices output a signal that is proportional to the input physical quantity. These instruments are called linear devices.

•Other instruments that don’t have a proportional relationship between the output signal and the input are non-linear devices.

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Linear vs Non Linear device

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Calibration

•Calibration is a process of comparing the performance of an instrument/device with a standard.

•Calibration could be performed by holding some inputs constant, varying others, recording the output(s), and developing the input-output relations.

•The relationship between the input and the output is given by the calibration curve.

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Why Calibrate??

•to reduce systematic errors. • the device cannot be used unless the

relation between the input variable and the output variable is known

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How to calibrate?

•By comparing the actual input value with the output value of the system, the overall effect of systematic errors can be observed.

•The errors at those points are then made zero by adjusting certain components or by using software corrections.

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Lab Activity 2