Sentence examples for test variations from inspiring English sources

"test variations" is a correct and usable phrase in written English.
It refers to the different versions or forms of something that are being tested. Example: "The scientists conducted several experiments to test variations of the new drug."

Exact(18)

We need to A/B test variations in products, messages, forms and timing of information, and social contexts while people shop.

In 1995 Centaur signed up with AstraZeneca to test variations of Floyd's chemical, including Cerovive, on stroke patients.

Beyond digital advertising and attribution, front-end web testing frameworks like Optimizely will be affected — because Optimizely is a JavaScript snippet that loads test variations and sends data asynchronously.

Service like Taplytics allow developers to test variations of their app interface and code, and to make those changes without going through the App Store approval and update process.

The reduction is to account for test variations and also to assure that line approaches a lower bound for experimental values, therefore, somewhat conservative.

Statistical analysis software ([SAS 1985]) was used to test variations between treatments, and the least significant difference (LSD) was used to determine differences between treatment means.

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Similar(42)

All of these tests are supposed to have high effect sizes for test variation with a medium level of difficulty.

The fixed effect part involves a covariate vector x which could contain information on study level such as gold standard variation, diagnostic test variation, or sample size information.

One way to reduce test variation is by increasing the number of tests and using the average to calculate i.e. ICC values.

In the absence of pathological confirmation, we are unable to determine whether test variation is due to nerve dysfunction, demyelination, or axonal loss.

After correcting for multiple comparisons using the minP permutation test, variation in MAP3K1, MMP9, TANK, and TLR9 was found to be significant at the gene level (Table  2).

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