The phrase "example testing" is grammatically correct and usable in written English.
It typically refers to the process of using examples or sample data in order to test a hypothesis or theory. It can also be used to describe the act of testing something in a practical or real-world scenario. Example: In order to validate our hypothesis, we conducted example testing using various samples from the population. In this instance, "example testing" is being used to describe the method of testing the hypothesis by using examples or samples.
For example, testing for Tay-Sachs disease is relatively common in the Ashkenazi Jewish population.
Similar, small-scale studies, for example testing the impact of management consultancy for small Indian firms, have found that advice can make a big difference to business performance.
Conflicts of interest can distort many stages of the experimental process, from biased experimental design (stacking the deck in favour of desired results), selective sampling (for example testing unrepresentative people) and partial reporting of results (such as burying unfavourable evidence).
For example, testing a product (e.g. a plane) based on its model is easier and cheaper, but requires the domain-specific representations to be integrated.
It is also possible to have a test linked to an assignment, for example testing an element of the product, or to introduce team work activities.
Figure 1 A two-dimensional toy example testing the atom identify ability of K-SVD algorithm for two different sample types with the size of 1,000.
The result is that France, for example, tests more cattle in a week than the United States has tested in a decade.
CV Therapeutics, for example, tested its drug in two large studies involving 1,014 patients, including about 365 from North America and Western Europe and close to 600 from Russia and Eastern Europe.
The walnut industry, for example, tested several differently worded claims with consumers and found little impact on their intent to buy.
A third example tested the ability of SWAP to control storm runoff from a watershed.
Its test and measurement products, for example, test the stability, reliability and performance of future optical and wireless networks.
