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Which of the following correctly describes hypothesis testing? A. It is a systematic approach to assessing tentative beliefs about reality. B. It involves confronting beliefs with evidence and deciding, in light of this evidence, whether the beliefs can be maintained as reasonable or must be discarded as untenable. C. It only involves statements about population parameters. D. It is a systematic approach to assessing tentative beliefs about reality and it involves confronting beliefs with evidence and deciding, in light of this evidence, whether the beliefs can be maintained as reasonable or must be discarded as untenable. E. None of these.

User Kharel
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Answer:

Option D is correct.

Step-by-step explanation:

In statistics, hypothesis testing is described as an act in which an analyst tends to test a particular assumption that is being related to a specific population parameter. However, the methodology used in the hypothesis testing by the analyst completely depends on the reason for the analysis and the nature of the data being utilized. Therefore, hypothesis testing is employed to assess the 'plausibility' of a particular hypothesis by utilizing "sample data".

User Bob Wintemberg
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