Sentence examples for a significantly larger sample from inspiring English sources

The phrase "a significantly larger sample" is correct and usable in written English.
It can be used when discussing research, statistics, or data analysis to indicate that the sample size is much greater than another sample or a previous one.
Example: "In our study, we found that a significantly larger sample provided more reliable results than the initial findings."
Alternatives: "a notably bigger sample" or "a considerably larger sample."

Exact(11)

We found we had to approach a significantly larger sample of men to get a similar number of responses.

For example, if birds have a large repertoire of different 2-letter and 3-letter words, then a proper analysis requires a significantly larger sample of bird calls than if their repertoire is small.

CONCLUSIONS: Hospital costing methods that adjust for differences in length of stay require a significantly larger sample to attain comparable statistical power as methods that assign unadjusted unit cost estimates to hospitalization events.

Our study indicates that presentations with a corresponding full-text publication did have, on average, a significantly larger sample size than the presentations without a corresponding publication.

Whether or not such differences are associated with age will require analysis of a significantly larger sample.

Our results tally with more recent findings using a significantly larger sample in two regions of Rwanda [ 17].

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Similar(49)

This is based on a significantly large sample: a starting set of 70,000 Amazon shoppers, 39,000 of which the company has 12 months of verified ecommerce and bricks-and-mortar purchase history "across all retail channels," Infoscout's marketing director Alison Shemyakin told me.

Therefore, to identify a greater number of causal variants, GWAS of (significantly) larger sample sizes is needed.

In the five cases where our clients ran parallel studies comparing prediction market results to other forms of testing – either traditional surveys with significantly larger sample sizes or Maximum Difference studies – the winners and losers were almost identical.

In order to validate the findings of this study, further studies with significantly larger sample sizes are required.

More thorough characterization on significantly larger sample sizes is needed to provide prognostic predictor sets for all subtypes.

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