The subject of Statistics can be considered from two angles: the data itself and the field of study.

### The Characteristics of Statistics as Data

- Statistics
**deals with the behavior of aggregates or large groups of data**. It has nothing to do with what is happening to a particular individual or object of the aggregate. - Statistics
**deals with aggregates of observations of the same kind**rather than isolated figures. - Statistics
**deals with variability that obscures underlying patterns**. No two objects in this universe are exactly alike. If they were there would have been no statistical problem. - Among the important characteristics of statistics is that statistics
**deals with uncertainties as every process of getting observations whether controlled or uncontrolled**involves deficiencies or chance variation. That is why we have to talk in terms of probability. - Statistics
**deals with characteristics or aspects of things that can be described numerically by counts or**measurements. - Statistics
**deals with aggregates that are subject to several random causes, e.g., the heights of persons are subject to several causes such as race, ancestry, age, diet, habits, climate, etc**. - Statistical laws are
**valid on average or in the long run**. There is no guarantee that a certain law will hold in all cases. Statistical inference is therefore made in the face of uncertainty. - Among the important characteristics of Statistics is that statistical
**results might be misleading and incorrect if sufficient care in collecting, processing, and interpreting the data is not exercised or if the statistical data are handled by someone not well-versed in the subject matter of statistics**.

**Characteristics of Statistics as a Field:**

**Science and Art:**Statistics combines aspects of both science and art. It employs scientific methods for data collection and analysis but also requires interpretation and judgment from the statistician.**Use of Methods and Techniques:**Statistics is a discipline built on a foundation of well-defined methods and techniques for data analysis, like calculating measures of central tendency or dispersion.**Universally Applicable:**Statistical methods have widespread applications across various fields, from social sciences and business to engineering and medicine.**Focus on Relationships:**Statistical analysis goes beyond just summarizing data. It aims to uncover relationships, patterns, and trends within the data set.

By understanding these characteristics of statistics, one can gain a better appreciation of the role statistics plays in various aspects of our world. It’s a discipline that helps us make sense of data, quantify uncertainty, and ultimately gain knowledge from the information we collect.