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sample size
This term is primarily used in scientific, medical, and sociological research to describe the quantity of data points used for analysis. It carries a strong connotation of validity; a small sample size is often viewed as a limitation or a source of potential bias, while a large sample size suggests a more robust and generalizable result.
In professional academic writing, it is typically paired with adjectives like "sufficient," "adequate," or "insufficient" to indicate whether the data set is strong enough to support the study's conclusions. It is a technical term and is rarely used in casual conversation unless discussing a specific study or poll.
Meanings
The number of individual observations, participants, or items included in a statistical sample.
The researchers determined that a sample size of 500 participants was necessary to achieve statistical significance.
Examples
The sample size was too small to draw a definitive conclusion.
The sample size was too small to draw a definitive conclusion.
We need to increase the sample size to improve the accuracy of the survey.
I wonder if a larger sample size would change the results of this experiment.
The clinical trial failed because the sample size was insufficient for statistical significance.
The clinical trial failed because the sample size was insufficient for statistical significance.
Your sample size is way too low for this kind of analysis.
A larger sample size generally reduces the margin of error.
The researcher carefully calculated the required sample size before starting the study.
The researcher carefully calculated the required sample size before starting the study.
Is the sample size representative of the entire population?
Is the sample size representative of the entire population?