The short answer: A statistic is a single number calculated from a set of data — for example, “the average test score in the class is 78%.” Statistics means two things: (1) the science of collecting, analyzing, and interpreting data, and (2) simply more than one statistic (“the latest employment statistics”). That double meaning is the source of almost all the confusion.
If you’ve ever hesitated between “statistics is” and “statistics are,” or wondered whether a percentage in a news headline counts as “a statistic” or “statistics,” this guide clears it up — much like our explainer on the difference between science, engineering, and technology.
What Is a Statistic?
A statistic (singular) is one numerical value computed from a collection of data. It is always a result — you start with raw data points and calculate something from them.
The most common statistics:
- The mean (average): add up all the values and divide by how many there are.
- The median: the middle value when the data is ordered from smallest to largest.
- A percentage or proportion: “62% of respondents prefer…”
- The standard deviation: how spread out the values are around the average.
A concrete example. A teacher has test scores for 30 students. She adds them up and divides by 30, getting 78.4. That single number — 78.4 — is a statistic. It summarizes the whole class’s performance in one value. The 30 individual scores are the data; 78.4 is the statistic computed from them.
You meet statistics (the plural — many such values) constantly in everyday life:
- “The unemployment rate is 4.2%” — a statistic.
- “The player’s batting average is .287” — a statistic.
- “The graduation rate at the school is 85%” — a statistic.
One more distinction worth knowing: a statistic describes a sample — the particular group that was measured. The corresponding value for an entire population is called a parameter (for example, the true average height of all adults in a country). Since we usually can’t measure everyone, we compute statistics from samples and use them to estimate parameters.
What Is Statistics?
Statistics is trickier because the word wears two hats:
1. Statistics as a science (singular, uncountable). This is the discipline: the methods for collecting, analyzing, interpreting, presenting, and organizing data — and for making decisions under uncertainty. “Statistics is my major.” “The researchers used statistics to design the clinical trial.”
2. Statistics as a plural (countable). Simply more than one statistic. “The latest trade statistics were released today” just means a collection of numerical facts.
The word comes from the Latin status (“state, condition”), via the German Statistik — coined in the 18th century for the science of describing the state. It entered English around 1770, which is why the “science” meaning feels so established.
The two branches: descriptive vs. inferential
When people say “statistics” meaning the science, they’re usually talking about two complementary branches:
- Descriptive statistics summarize and describe the data you already have: averages, charts, percentages. “The average customer rating is 4.6 out of 5” is descriptive statistics at work.
- Inferential statistics use a sample to draw conclusions about a larger population: election polls, drug-trial results, anything reported with a “margin of error.” Because you’re generalizing beyond what you actually measured, inference always carries uncertainty — which is why honest statistics come with margins of error and confidence intervals.
Statistic vs Statistics: Side-by-Side Comparison
| Statistic | Statistics | |
|---|---|---|
| What it is | One value computed from data | The science of working with data — or several such values |
| Grammar | Countable, singular (“a statistic,” “two statistics”) | Uncountable when it’s the field; plural when it’s data points |
| Example | “78.4 is the class average — that’s a statistic.” | “Statistics helps doctors test new drugs.” / “These statistics show sales rising.” |
| Verb form | “This statistic shows…” | “Statistics is fascinating” (the field) / “Statistics are clear” (the numbers) |
“Statistics Is” or “Statistics Are”?
Match the verb to the meaning you’re using:
- Field of study → singular: “Statistics is a required course for psychology majors.”
- Collection of numbers → plural: “The statistics are encouraging this quarter.”
Quick test: if you can swap in “the science,” use is; if you can swap in “the numbers,” use are.
5 Common Confusions, Cleared Up
1. “The two terms mean the same thing.” They don’t. One statistic is a single computed value; statistics is the entire discipline — or a batch of such values. Using them interchangeably muddles whether you’re talking about a number or a science.
2. “Statistics are always accurate.” Statistical results carry uncertainty. A poll reporting “48% vs. 45% with a ±3% margin of error” is really telling you the race is a tie. Accuracy depends on sampling quality, sample size, and honest methods — which is exactly why understanding statistics matters.
3. “Only researchers need statistics.” You use statistical reasoning whenever you weigh a medical claim, compare product ratings, or decide whether a “90% effective” headline means anything. Basic statistical literacy is everyday literacy.
4. “A statistic is always a plain number.” Nearly always — but the deeper point is that it’s a single computed value. A correlation of r = 0.82 between study time and grades is still one statistic, even though it describes a relationship rather than a simple count.
5. “Statistics is just crunching numbers.” The arithmetic is the easy part. Statistics is really about reasoning under uncertainty: designing fair measurements, spotting bias, and knowing what the data can’t tell you.
Frequently Asked Questions
Is “statistics” singular or plural?
Both — it depends on the meaning. As the field of study it is singular and uncountable (“Statistics is hard”). As a collection of data points it is plural (“The statistics are in”).
What is the plural of “statistic”?
“Statistics.” And note: you can never say “a statistics” — the singular is always “a statistic.”
What is the difference between data and a statistic?
Data are the raw observations (30 individual test scores). A statistic is a value computed from data (their average, 78.4). Statistics — the science — is the toolkit that gets you from one to the other.
What are descriptive and inferential statistics?
Descriptive statistics summarize the data you have (averages, graphs, percentages). Inferential statistics use a sample to make claims about a larger population (polls, clinical trials) — always with some margin of error.
What is a parameter, and how is it different from a statistic?
A parameter describes an entire population (the true average height of all adults in a country); a statistic describes a sample (the average height of 1,000 adults who were actually measured). We compute statistics to estimate parameters we cannot measure directly.
Why does this distinction matter?
Because precision prevents misreading. “A statistic shows X” is a claim about one number; “statistics show X” (the field) is a claim about what the science concludes. Headlines blur this constantly — now you’ll catch it.
Conclusion
Keep the core split in mind: a statistic is one number summarizing data; statistics is the science of working with data — or just several statistics at once. Match your verb to your meaning (“statistics is” for the field, “statistics are” for the numbers), and you’ll use both terms correctly every time.
Updated: October 2026 — fully rewritten and verified.
Vincent Cruz is the founder and editor of Durofy, where he covers business, technology, and practical consumer guides.
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