The phrase "a relatively large test" is correct and usable in written English.
It can be used when comparing the size of a test to others, indicating that it is larger than average but not excessively so.
Example: "In our study, we administered a relatively large test to assess the participants' knowledge over a broader range of topics."
Alternatives: "a fairly extensive test" or "a moderately sized test".
The two first components oppose the group of relatively large test classes (high values of TLOC) having high verification effort and data creation (high values of TASSERT and TDATA) to the group of test classes that contain many method invocations (high values of TINVOK) with high number of operations (TNOO).
It is interesting to note that relatively large testing rate leads to a slow increase of the number of individuals with treatment (shown in Figure 8(d)).
Due to this scarcity of information, and in order to assess and identify the most effective tests, a relatively large number of tests were included.
The performance of a CHO with explicitly defined channels and a relatively large number of test images was consistently estimated by all participants.
Despite a relatively large number of tests in the off-season, the number of influenza positive tests was almost negligible; suggesting that the false positive rate applicable to RVDSS influenza testing is minimal.
However, a relatively large number of tests were performed to identify these genes.
"There was a relatively large number of defective test booklets," said Richard J. Noeth, executive director of admissions and guidance programs for the Educational Testing Service of Princeton, N.J., which draws up the college-admissions exams.
Reynolds said that because of the heated emotions, it would be "unable to receive an accurate test-market reading on Uptown". An estimated cost for canceling the campaign was not immediately available, but Mr. Fishel said it would not be a "relatively large number" since the test was in just one city.
In Simulation 1, we have a relatively large number of significant tests, each with small effects.
Since a relatively large number of statistical tests were performed, the possibility of the random significance of some results cannot be ruled out.
