Concept of failing to reject alternative hypothesis


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Q: Refer to the null hypothesis as a theory that has been presented because the researcher believes it to be true or would like to use it as a basis for a future argument. It is critical to understand that a null hypothesis has not been proven on any level and thus the experiment. Additional special consideration is always given to the null hypothesis over the alternative hypothesis simply because it directly relates to the statement that is being tested. On the other hand the alternative hypothesis is accepted when the null hypothesis is rejected. When the research or test is concluded the conclusion are always in relation to the null hypothesis. Simply stated you either reject or fail to reject the null hypothesis and the concept of rejecting or failing to reject the alternative hypothesis would never be used.

Could rejecting the null hypothesis actually be a positive thing in an experiment or test? Provide and example with your thoughts.

Could you think of a situation where rejecting the null hypothesis does not mean the alternative hypothesis is true

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Basic Statistics: Concept of failing to reject alternative hypothesis
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