Statistics – 1 – What is Statistics?
Part 1 of the Six Sigma & Statistics Course: An introductory guide to the core definitions for What is statistics, practical applications, and overcoming public mistrust. Explore what statistics is, the difference between singular and plural statistics, what ‘a statistic’ means, and why statistical thinking matters.
Statistics can be broadly described as the quantitative methodology of scientific investigation. Whether analyzing industrial defect rates, evaluating clinical trials, or measuring financial performance, statistics provides the structured framework required to convert raw numbers into actionable insight.
To truly understand the subject, it helps to break down the word Statistics, as it carries three distinct technical meanings depending on context: as a plural noun, as a singular academic discipline, and as a specific calculated parameter.
1. The Three Technical Meanings of “Statistics”
| Usage / Form | Context & Definition | Practical Example |
| Plural Noun | Refers to numerical data or facts collected from any sphere of observation or human activity. | Annual sales figures, temperature records, or customer complaint counts. |
| Singular Discipline | Refers to the body of scientific and mathematical principles used for collecting, analyzing, organizing, presenting, and interpreting data. |
“Statistics is essential for quality engineering.” KPIs are measured using statistics and data |
| “A Statistic” (Singular Item) | A specific numerical metric calculated directly from a sample dataset to estimate a population property. | Sample Mean, Sample Standard Deviation (s), or Sample Variance (σ2). |
According to the American Statistical Association (ASA), Statistics is defined formally as “the scientific application of mathematical principles to the collection, analysis, and presentation of numerical data.” This Definition gives a comprehensive context to the word statistics and covers beyond Numbers (Statistic).
Why Statistical Thinking Matters
As an applied branch of mathematics, statistics is heavily utilized across virtually every modern field—including medicine, engineering, psychology, sociology, physics, and aerospace. In corporate environments, it serves as an indispensable tool for operations, strategic planning, supply chain management, and regulatory compliance.
Even if you do not perform complex mathematical modeling directly in your daily role, developing statistical thinking is crucial. Statistical thinking enables professionals to understand what is statistics :
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Recognize the inherent variation present in every business process. Distinguish between true operational trends and random background noise.
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Make objective, data-driven decisions rather than relying on gut feeling or anecdotal evidence.
Overcoming the Public Mistrust of Statistics
Despite its immense practical value, statistics often faces skepticism from the public. This distrust stems primarily from the frequent misuse or selective manipulation of figures to suit specific agendas.
This skepticism is captured in the famous phrase popularized by Mark Twain: “There are three kinds of lies: lies, damned lies, and statistics.”
┌───────────────────────────────────┐
│ The Spectrum of Misleading │
└─────────────────┬─────────────────┘
│
┌─────────────────────────┼─────────────────────────┐
▼ ▼ ▼
[ 1. Lies ] [ 2. Damned Lies ] [ 3. Misused Statistics ]
(Direct Untruths) (Intentional Deception) (Selective Data Manipulation)
In Six Sigma and quality management, our objective is to eliminate this third category of misusing the statistics by teaching the ethical, rigorous, and accurate application of data. Used properly, statistics is not a tool for deception—it is a systematic solution for diagnosing root causes and driving operational excellence. To Achieve this the knowledge on What is Statistics is very much useful and Important.
Next Post in Series: 503. Data Collection – Types of Data
What is statistics article is Written by Ravi Prakash—Quality Expert (38+ yrs exp) Connect on LinkedIn or Contact Us.
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503. Basic Statistics – III – Introduction to Probability
502. Basic Statistics I – Definitions of commonly used Statistical Terms
