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inferential
This term describes a cognitive leap from known facts to an unknown conclusion. It carries a connotation of logical deduction and intellectual rigor, often appearing in academic, legal, or scientific contexts where direct observation is impossible and one must rely on evidence to bridge the gap to a conclusion.
In the realm of data science and mathematics, the word takes on a technical precision. It distinguishes methods that generalize findings from a small sample to a broad population, contrasting with descriptive statistics which only summarize the immediate data at hand.
Meanings
Relating to or derived from the process of drawing a conclusion based on evidence and reasoning rather than explicit statements.
The researcher used an inferential approach to determine the cause of the phenomenon.
Specifically relating to a branch of statistics that uses a sample of data to make generalizations about a larger population.
The team applied inferential statistics to validate the hypothesis across the entire demographic.
Examples
The detective relied on inferential reasoning to determine the killer's motive.
We need to apply inferential statistics to see if these results apply to the whole city.
The author uses inferential clues to hint at the ending without stating it directly.
I wonder if my inferential leap was too bold given the limited evidence.
The study focuses on inferential analysis rather than just descriptive data.
Your conclusion is purely inferential and lacks empirical support.
The professor explained the difference between descriptive and inferential methods.
The professor explained the difference between descriptive and inferential methods.
She made an inferential judgment about his mood based on his silence.