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State one practical use of Variation related to health statistics.

One of the practical uses of Variation is its use in new and better treatments. For instance, patients with different needs are brought to the hospital and should be treated differently. Variation, therefore, gives room for finding new and better treatments based on the cases that might arise that patients were not treated per their specific needs.

Briefly discuss its implications.

Clinical researchers are the ones who are most tasked with finding new treatments for diseases. For instance, they may use Variation to compare the treatment or intervention efficacy in a specified population when all is equal.

These clinical researchers use randomization to balance the baseline factors by randomly choosing the patients or clinicians. On the other hand, they may depend on the collected data and samples collected for a fixed period. Therefore, they use modern RCTs, which are not limited to evaluating complex processes that are purposefully and continually changing over time. Besides, they can use alternative approaches like hybrids and other adequate studies to determine the underlying conditions. Also, the researchers would conclude that if they measure more variables, they can explain more of the variance.

These researches, which are conducted frequently, will enable the researcher to identify that the outcome of a given health condition is not likely due to chance.

Therefore, this is an opportunity to reduce the Variation in outcomes and improvements in unwanted Variation. Thus, by working on these data-driven best practices that minimize Variation, the clinical researchers then further quality improvements by taking actions that support better care and even lower cost. By adequately following this process, the clinical researcher can come up with new and better treatments in the healthcare industry.