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Evaluate and provide examples of how hypothesis testing and confidence intervals are used together in health care research. Provide a workplace example that illustrates your ideas.
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Testing Hypothesis and Confidence Intervals
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Statistically speaking hypothesis testing is a conjecture or rather an assertion concerning one or
more populations of study. Therefore, for the provision of a true hypothesis, there would need to
be absolute knowledge of the entire population for absolute certainty (Altman, Machin, Bryant,
& Gardner, 2013). More so, hypothesis testing refers to the use of a random sample from a
specific population using tests of significance to judge if the statement is true and the likelihood
of a statistician accepting it as well. To boot, the knowledge of understanding when exactly to
use each test appropriately is as important as the mathematic...
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