Examples of 'larger sample size' in a sentence
Meaning of "larger sample size"
Larger sample size: Indicates the need for a bigger group of participants or subjects in a study or experiment for more accurate results
How to use "larger sample size" in a sentence
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larger sample size
Impact of larger sample size on margin of error.
I was really hoping to start with a larger sample size.
This is a larger sample size.
A smaller margin of error requires a larger sample size.
A larger sample size is needed to evaluate the intervention effect.
Let us try a larger sample size.
A larger sample size might have allowed us to detect a difference.
It just needs a larger sample size.
A larger sample size is likely to increase the certainty of this evidence.
Let us start with the larger sample size.
A study with a larger sample size is needed to validate the instrument.
To detect small differences you need a larger sample size.
A larger sample size would allow for greater statistical power.
It would be nice to have a larger sample size than this.
A larger sample size would have increased the conviction of the results.
See also
This may be justified by the larger sample size of our study.
A larger sample size also gives the test more power to detect a difference.
This result may have been significant with a larger sample size.
A study with a larger sample size might provide more conclusive evidence.
We will have to see what happens over a larger sample size.
Quotes provide a larger sample size than the number of repairs booked.
A smaller relative difference between treatments requires a larger sample size.
Confirmation of these findings in a larger sample size would increase confidence in the results.
The study of rare specific problems would require a larger sample size.
Is seeking a larger sample size than can be realistically achieved through direct contact.
That same year another study was published with a larger sample size.
It seems possible that a larger sample size might have revealed a significant relationship.
This second aspect can be overcome by selecting a larger sample size initially.
A larger sample size or the inclusion of critically ill patients could provide different results.
A larger dose would result in the same range of variation over a larger sample size.
A study with a larger sample size and a longer time frame could show differing results.
This helps maintain the validity of the star ratings based on a larger sample size.
A larger sample size might increase the number of variables with estimates that show statistical significance.
For this reason lower viscosity samples required a larger sample size to accommodate the larger spindles.
A larger sample size of CHF patients would be desirable.
Therefore, more studies with larger sample size are necessary.
However, these findings should be confirmed in studies with a larger sample size.
A Study with a larger sample size and longitudinal setting is needed in the future.
In general, a smaller margin of error requires a larger sample size.
What is the effect of a larger sample size on the margin of error?
By reaching much wider audience, you can gather a larger sample size.
If the population is very heterogeneous, a larger sample size is required to produce a reliable estimate.
A larger sample size produces a smaller margin of error, all else remaining equal.
If the population 's distribution is strongly asymmetric, a larger sample size is necessary.
In addition, a larger sample size would allow a deeper investigation of the variables studied.
After modifications, the system should be retested preferably with a larger sample size.
However, studies with a larger sample size are needed to look further into this issue.
Therefore, the authors recommend further studies with a larger sample size and longer duration.
However, examination of a larger sample size might assist increase the statistical significance of this finding.
Obviously, a greater confidence level or a smaller acceptable interval estimate would require a larger sample size.
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