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Statistics and Probability:
The word “statistics”, which comes from the Latin word status, meaning political state, originally meant information useful to the state, such as information on the size of the population and armed forces. But this word is now acquired different meanings. The word statistics in the first place refers to “numerical data systematically arranged”. In that sense it is the word statistics is always used in the plural. For example, we have price statistics, traffic accident statistics, crime statistics, birth statistics, educational institution statistics, etc.
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If they were, there would be no statistical problem. Statistics deals with uncertainties like any process of obtaining observations, whether controlled or uncontrolled, includes imperfections or random variations. Therefore we must speak in terms of probability. Statistics deals with toes characteristics or aspects of things that can be described numerically either by by counting or measuring.
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In all these examples there is the word statistic refers to a set of numerical data in the respective fields. That is the meaning of man in street gives the word Statistics and most people usually use the word data instead. Secondly, the word statistics is defined as a discipline that includes the procedures and techniques used collect and analyze numerical data to infer and examine face-to-face decisions uncertainty.
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Of course, it should be remembered that uncertainty does not mean ignorance, but refers to incompleteness and instability of available data. In this sense, the word statistics is used in the singular. Because it embodies more or less all phases of the general learning process, sometimes called the scientific method,
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Statistics deals with those aggregates which are subject to a number of random causes, eg height persons are subject to a number of causes, such as race, origin, age, diet, habits, climate, and so on. Statistical laws apply on average or in the long run. There is no guarantee that a particular law will apply all cases. Statistical inferences are therefore made in the face of uncertainty.