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Yes, a statistic is a numerical fact that summarizes or represents data. It can describe a characteristic of a dataset, such as an average, median, or percentage, and is often used to infer conclusions or trends. Statistics provide a way to quantify and analyze information, making it easier to understand and communicate findings.

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4mo ago

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Related Questions

What best fits statistic?

A numerical fact


What term best fits statistic?

A numerical fact


How does a parameter and a statistic differ?

A parameter is a numerical measurement of a population; a statistic is a numerical measurement of a sample.


What is the difference between facts and statistics?

A statistic is a number or a fraction or any form of numerical data. A fact is an accepted theory or idea that can be proven.


A number that describes numerical data is a?

A number that describes numerical data is a Statistic.


What a numerical fact is called?

A numerical fact is often referred to as a "statistic." Statistics are quantitative data points that provide insights or evidence about a particular subject or phenomenon, often used in research, analysis, and decision-making. They can represent counts, measurements, or averages and are essential for understanding trends and making comparisons.


What is a numerical summary of a sample?

That is the definition of a statistic


What fact is a statistic?

well i dont get the question but any fact is a statistic.


What is statistic fact?

well i dont get the question but any fact is a statistic.


A numerical value calculated for a sample is called a?

A numerical value calculated for a sample is called a descriptive statistic.


A Numerical Measure from a Sample Such as a Sample Mean Is Known?

sample statistic


What the difference between statistic as numerical fact and statistics as a discipline?

A statistic (as a numerical fact) is a value taken from a sample of a population. For example a summary of a political poll would produce many numerical statistics. Statistics as a discipline involves creating and carrying out sampling designs, knowing how to analyze data, creating mathematical models for different processes, predicting future results, and optimizing systems. That is why statistics can by applied to any other field of study, any time you have to research, prove, or improve something the discipline of statistics is very valuable.