The basic features of statistics as a quantitative or numerical data run a follows:

1. Aggregate of Facts:

Single or isolated figures are not considered to be statistics because such figures are unrelated and cannot be compared. A single figure of the boy of 26 years would not constitute statistics. It is just a numerical statement the fact. Statistical data are concrete numbers which represent objects

2. Systematically Arranged:


A proper plan should be prepared before collecting the statistical data. Data collected in a haphazard manner would lead to false conclusions. Therefore, data should be collected in a systematic manner.

3. Statistics are Estimated or Enumerated:

According to the feature of statistics, data can be enumerated or estimated. If the numerical statements are precise accurate, then they can be enumerated. Contrary to this, if the field of investigation large and beyond comprehension, then the estimation procedure can be adopted.

4. Statistics are numerically expressed:


All statistics are expressed numerical figures i.e. expressed in numbers and related to quantitative information only. Qualitative characteristics do not come under statistics unless they are assigned cert; ranks as a quantitative measure of assessment.

5. Statistical Data Collected for a Pre Determined Purpose:

Collected should be, for a pre determined purpose. The figures are collected with some goal objective in mind. Without any objective collected data will be useless. Thus, the purpose of collecting data must be decided in advance.

6. Placed in Relation to each other:


Numerical information’s must be mud related and comparable. In the absence of such a quality the statistics would se, purpose. For example, statistics related to number of children born, exports country, coal production etc. have no relevance for statistical analysis.