2 Types of Data in Statistics

In statistics the data is divided into two types, such as:

1. Qualitative Data

Qualitative data is data that is not a form of numbers. Qualitative data have characteristics that can not be performed mathematical operations on the data. Leather data is divided into two parts, including:

1.1 Nominal Data

Nominal data are low data in data measurement level. Examples such as gender, date of an event, and birthplace of a person.

1.2 Ordinal Data

Ordinal data is data related to one's opinion. For example someone's opinion when states strongly agree, agree, disagree, disagree, and others.

2. Quantitative Data

Quantitative data is data in the form of numbers. Quantitative data can be mathematical operation. Quantitative data is divided into two, including:

2.1 Interval Data

Interval data is a data that has a range. Examples of this data are:

Pretty hot if the temperature is between 50ºC - 80ºC

Heat if the temperature is between 80ºC - 100ºC

Very hot if the temperature is between 110ºC - 140ºC

2.2 Ratio Data

Ratio data is the data with the highest level of measurement. The ratio data is a number in the true sense. Differences with intervals that have a zero point in the real sense.

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Reference :

Prof.Dr.Sudjana,MA,Msc, Tarsito, Metode Statistika, Edisi 6, Bandung
Robert D Mason and Douglas A.Lind, T, Teknik Statistika for bussiness and economy, erlangga, Yogyakarta
Lukas Setia Atmaja, Memahami Statistika Bisnis, Erlangga, Yogyakarta