Examples of 'small sample size' in a sentence

Meaning of "small sample size"

A small sample size refers to a group of subjects or observations that is too limited to provide statistically significant results. It often leads to inaccurate or unreliable conclusions due to the lack of representation. It is commonly used in research and experiments, highlighting the importance of a sufficient sample size to ensure reliable data

How to use "small sample size" in a sentence

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small sample size
Small sample size has no predictive value.
Albeit with a very small sample size.
Small sample size and lack of timeliness.
Retrospective study with a small sample size.
Small sample size was one of them.
It is a retrospective study with a small sample size.
It is a small sample size that unfairly gets.
It may be relate to the small sample size.
We have a small sample size right over here.
This may be an artefact of the small sample size.
The small sample size should also be considered.
The rest is small sample size.
The small sample size is a limitation of this study.
This refers to the small sample size problem.
Small sample size in some studies.

See also

It may be due to the small sample size studied.
A small sample size results in less accurate estimates.
First is the small sample size.
Small sample size is the main limitation of our study.
You are judging me from a very small sample size.
First the small sample size prohibits generalization.
A potential criticism would be its small sample size.
Although the small sample size does not allow.
This could be due to the small sample size.
Its small sample size is one.
The main limitation was the small sample size.
And a small sample size to boot.
Women were excluded because of the small sample size.
To the small sample size.
This is likely due to our small sample size.
Small sample size required.
This is no longer a small sample size.
This is a small sample size for a study of this design.
Our findings are limited by a relatively small sample size.
Relatively small sample size.
Nonparametric tests were used because of the small sample size.
The small sample size makes these comparisons very limited.
And it is no longer a small sample size.
Given the small sample size they could be just noise.
This may be attributable to the small sample size.
Information is based on a small sample size and is not statistically valid.
Statistics were not employed due to small sample size.
The small sample size did not permit robust statistical analysis.
The shortcoming of the study is small sample size.
The small sample size is the major limitation of the present study.
For the same reasons a small sample size is preferred.
Nonparametric statistics were used because of the small sample size.
Another concern is the small sample size for the study.
These differences could not be modelled due to small sample size.
Small sample size precluded statistical significance between the outcomes investigated.

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