"> (Answered) The hypothesis testing process is a series of steps that should be implemented consistently regardless of the hypotheses and the test involved. - Tutorials Prime

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(Answered) The hypothesis testing process is a series of steps that should be implemented consistently regardless of the hypotheses and the test involved.


The hypothesis testing process is a series of steps that should be implemented consistently regardless of the hypotheses and the test involved.


The hypothesis testing process is a series of steps that should be implemented consistently regardless of the hypotheses and the test involved. The following are some general guidelines that should be followed in implementing this hypothesis testing process:Hypothesis testing is part of inferential statistics; this is, it is about using samples to make inferences about the population.The hypotheses always contain a population parameter (e.g. mean or proportion).The null and alternate hypotheses form a pair that is mutually exclusive (no overlap) and collectively exhaustive (cover all possible values of the population parameter). In effect, the null and alternate hypotheses are opposites/complements.The alternate hypothesis is the hypothesis that is tested. As such, the thing we want to attempt to prove should be set as the alternate hypothesis.The null hypothesis always contains the "equal to" (that is, ≥ ,  ≤, or =) whereas the alternate hypothesis always contains the strict inequality (that is,

 


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Jan 02, 2020

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