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MEASUREMENTS AND ITS TYPES

Measurements and its types

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Measurements and its types. Basics of Measurement Theory. Measurement are “ the assignment of numerical to represent (physical properties.)” - PowerPoint PPT Presentation

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Page 1: Measurements and its types

MEASUREMENTS AND ITS TYPES

Page 2: Measurements and its types

Basics of Measurement Theory

Measurement are “ the assignment of numerical to represent (physical properties.)”

Measurement are made to fulfill one or more of several different goals: obtain information about a physical phenomenon, record trends, control some process, correlate behavior with other parameters to obtain insight into their relationship.

Data Classes: the data that result from measurements can be divided into two major classes, which are eachother divided into two subclasses.

The major divisions include qualitative data and quantitative data.

Page 3: Measurements and its types

Qualitative Data Qualitative Data is nonnumerical and

categorical. It includes information, such as the presence or

non-presence of some factor, good or bad, defective or not defective, gender, and race.

Qualitative data does not inherently result in numbers, and thus is sometimes held in less esteem than quantitative data.

This attitude is misguided unless there is an inherent need for numbers in a particular case.

Qualitative data can be further broken into two sub groups: Nominal Data and Ordinal Data

Page 4: Measurements and its types

Classes of Qualitative Data Nominal Data: It is qualitative data that has no

inherent order or rank. Examples include lists of names, labels, and

groupings. Ordinal Data: It allows ranking, but differences

between data points are either nonexistent or meaningless.

Example: Many of these data are binary (i.e., has only two possible results), one can assign the digits 0 and 1 (e.g., 1 for yes and 0 for no).

A five point scale is often used to assign numerals to questions that are largely value judgments.

Page 5: Measurements and its types

Quantitative Data Quantitative data are those which

naturally result in some number to present a factor.

Example includes amount on money, length, temperature, number of defects per unit, number of defectives unit, voltage, pressure, and weight.

Quantitative data can be further divided into two sub classes: Interval Data and Ratio Data.

Page 6: Measurements and its types

Classes of Quantitative Data Interval Data: It allow for a meaningful

comparison of differences but not the relative values of two or more factors.

Ratio Data: Ratio data is based on some fixed or natural zero point, such as weights, pressures, and temperatures (e.g., the Kelvin scale).

Page 7: Measurements and its types

Categories of Measurement There are three general categories of

measurement1. Direct Measurement2. Indirect Measurement3. Null Measurement

Page 8: Measurements and its types

Direct Measurement Direct measurement are made by

holding the measurand up to some calibrated standard and comparing two.

Example: Meter stick ruler used to cut a piece of coaxial cable to the correct length.

You know that the cable must be cut to a length of 24 cm, so hold a meter stick (the standard or reference) up to the piece of the cable.

Measuring cable with a meter stick

Page 9: Measurements and its types

Indirect Measurement Indirect measurement are made by

measuring something other than the actual measurand.

Indirect methods are often used when direct measurements are either difficult or dangerous.

Example: on might measure the temperature of a point on the wall of a furnace that is melting metal.

Page 10: Measurements and its types

Measuring point on a furnace

Indirect Measurement of blood pressure

Page 11: Measurements and its types

Null Measurement Null measurement are made by comparing a

calibrated source to an unknown measurand and then adjusting either one or the other until difference between them is zero.

Example: An electrical potentiometer is such an instrument; it is an adjustable calibrated source and a comparison meter (galvanometer). The reference voltage from the potentiometer is applied to one side of the zero center galvanometer, and the unknown is applied to the other side of galvanometer.

The output of the potentiometer is adjusted until the meter reads zero difference.

Page 12: Measurements and its types

Cont….

Example of Null Measurement

Page 13: Measurements and its types

Measurement Standards Metrology, the science of measurement,

requires a rule to which things are compared: that rule is called a standard. Not all standards are equal, so there is a hierarchy of standards (Figure):

International Reference Standard, Primary Standards. Transfer Standards, Working Standards, and Shop-level Standards, Secondary Standards,

and Gauges and Instruments.

Page 14: Measurements and its types

Cont…. International Reference Standards:

These standards are agreed on by the International Standards Institute (ISI). For years the reference standard for the meter was a platinum bar 1.000 m long, which was stored in a vault in Paris and maintained by the ISI.

Primary standards: These are the principal standards maintained at a national level in the various countries.

Page 15: Measurements and its types

Cont…. Transfer Standards: These standards

are second level and are periodically compared with the primary standard. They are used to calibrate lower-order standards used in the country so that wear and tear on the primary standard is reduced.

Working Standard: Working standards are compared with transfer standards in a nationally certified laboratory.

Page 16: Measurements and its types

Cont…. Secondary Standards: These

standards are used locally to calibrate instruments and gauges

Gauges and Instruments: The lowest order of standards, these are the devices actually used to make measurements and collect data on the objects being measured. Gauges and instruments are compared with either working standards or secondary standards.

Page 17: Measurements and its types