Six Sigma Glossary from MiC Quality


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Measurement Scales and Data Types
Attribute Data

Used to signify the presence or absence of a characteristic (similar to binary data).

Binary Data

A type of nominal data where there are only two levels eg. yes or no, present or absent, conforming or nonconforming.

Categorical data

Used when there is a small number of categories eg. single, married, divorced, widowed; can be Nominal or Ordinal.

Continuous Data

Data that can be measured on a continuous scale, and can be divided into ever-smaller measurements, limited only by the measurement or recording system.

Discrete Data

Data that is based on counts, and cannot be subdivided. Only a finite number of values is possible.

Interval Scale

A measuring scale where the interval between successive points can be measured using a defined numerical scale, however the zero point does not indicate absence of the characteristic being measured, but is arbitrary or undefined.

Calendar time and temperature, in degrees centigrade, are examples of interval scales.

Nominal Scale

A type of categorical data where there are various characteristics, but no natural ordering eg. red, yellow, green, blue.

Ordinal Scale

A type of measuring scale where there is a natural ordering of levels, but the intervals between the categories cannot be defined.

An example is where items are sorted into order of preference.

Ratio Scale

A measuring scale where the interval between successive points can be measured using a defined numerical scale and where the zero point means absence of the characteristic being measured.

Weight is measured using a a ratio scale because two kilograms are twice as heavy as one kilograms.

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