介绍
对于外行来说，“统计学”指的是以数量表示的数字信息。这些信息可能与物体、主题、活动、现象或空间区域有关。事实上，数据的引用、覆盖范围和范围没有限制。在宏观层面，这些数据是关于国民生产总值以及农业、制造业和服务业在GDP（国内生产总值）中所占份额的数据。
在微观层面上，各个公司，无论大小，都会对其运营情况进行大量统计。公司的年度报告包含关于销售、生产、支出、库存、使用资本和其他活动的各种数据。这些数据通常是通过科学调查技术收集的现场数据。除非定期更新，否则此类数据是一次性工作的产物，除了可能需要收集的情况外，用途有限。学生更熟悉统计学作为一门学科，如经济学、数学、化学、物理等。它是一门科学处理数据的学科，通常被称为数据科学。在将统计作为数据处理时，统计学发展了收集、呈现、总结和分析数据的适当方法，因此由这些方法组成。
Business Statisctics: 2022 New Edition
INTRODUCTION
For a layman, ‘Statistics’ means numerical information expressed in quantitative terms. This information may relate to objects, subjects, activities, phenomena, or regions of space. As a matter of fact, data have no limits as to their reference, coverage, and scope. At the macro level, these are data on gross national product and shares of agriculture, manufacturing, and services in GDP (Gross Domestic Product).
At the micro level, individual firms, howsoever small or large, produce extensive statistics on their operations. The annual reports of companies contain variety of data on sales, production, expenditure, inventories, capital employed, and other activities. These data are often field data, collected by employing scientific survey techniques. Unless regularly updated, such data are the product of a one-time effort and have limited use beyond the situation that may have called for their collection. A student knows statistics more intimately as a subject of study like economics, mathematics, chemistry, physics, and others. It is a discipline, which scientifically deals with data, and is often described as the science of data. In dealing with statistics as data, statistics has developed appropriate methods of collecting, presenting, summarizing, and analyzing data, and thus consists of a body of these methods.
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