Explain nominal data type and give example

The name 'Nominal' comes from the Latin nomen, meaning 'name' and nominal data are items which are differentiated by a simple naming system.

The only thing a nominal scale does is to say that items being measured have something in common, although this may not be described.

Nominal items may have numbers assigned to them. This may appear ordinal but is not -- these are used to simplify capture and referencing.

Nominal items are usually categorical, in that they belong to a definable category, such as 'employees'.

Example

The number pinned on a sports person.

A set of countries

Explain interval data type and give example

Interval data (also sometimes called integer) is measured along a scale in which each position is equidistant from one another. This allows for the distance between two pairs to be equivalent in some way.

This is often used in psychological experiments that measure attributes along an arbitrary scale between two extremes.

Interval data cannot be multiplied or divided.

Example

My level of happiness, rated from 1 to 10.

Temperature, in degrees Fahrenheit

Explain ordinal data and give example

Items on an ordinal scale are set into some kind of order by their position on the scale. This may indicate such as temporal position, superiority, etc.

The order of items is often defined by assigning numbers to them to show their relative position. Letters or other sequential symbols may also be used as appropriate.

Ordinal items are usually categorical, in that they belong to a definable category, such as '1956 marathon runners'.

You cannot do arithmetic with ordinal numbers -- they show sequence only.

Example

The first, third and fifth person in a race

Pay bands in an organization, as denoted by A, B, C and D

SOFT QUANTITATIVE data

 SOFT QUANTITATIVE data is that type of data which places people or objects into categories or rankings. It encompasses NOMINAL and ORDINAL data types

Explain ratio data type and give example

Ratio: In a ratio scale, numbers can be compared as multiples of one another. Thus one person can be twice as tall as another person. Important also, the number zero has meaning.

Thus the difference between a person of 35 and a person 38 is the same as the difference between people who are 12 and 15. A person can also have an age of zero.

Ratio data can be multiplied and divided because not only is the difference between 1 and 2 the same as between 3 and 4, but also that 4 is twice as much as 2.

Interval and ratio data measure quantities and hence are quantitative.  Because they can be measured on a scale, they are also called scale data.

Example

A person's weight

The number of pizzas I can eat before fainting

Define HARD QUANTITATIVE data

HARD QUANTITATIVE data is that type of data with which we are generally familiar. It lies within and parallels our number system. It encompasses RATIO and INTERVAL data types