Hypothesis Testing (Conceptual Problem)

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The discussion centers on the conceptual understanding of hypothesis testing, specifically the rejection of the null hypothesis (H0: μ=μ0) in favor of the alternative hypothesis (Ha: μ≠μ0). Key points include the significance of a confidence interval that does not include μ0 and a p-value that is less than the significance level (α) as valid reasons for rejecting H0. Participants seek clarification on whether these two criteria are sufficient for justifying the rejection of the null hypothesis. The conversation emphasizes the foundational definitions of confidence intervals and significance tests in hypothesis testing. Overall, the discussion aims to solidify understanding of the criteria for rejecting the null hypothesis.
icystrike
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Homework Statement


This is not a homework problem, rather it is a conceptual question.

I am wondering if the below is an accurate illustration to explain why I reject the null hypothesis.
Such that
H_{0}: \mu=\mu_{0}
H_{a}: \mu\ne\mu_{0}

By relating the reasoning with the diagram attached.
1) \mu_{0}is not in the confidence interval
2) p-value < \alpha

Please suggest and comments :)
 

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icystrike said:

Homework Statement


This is not a homework problem, rather it is a conceptual question.

I am wondering if the below is an accurate illustration to explain why I reject the null hypothesis.
Such that
H_{0}: \mu=\mu_{0}
H_{a}: \mu\ne\mu_{0}

By relating the reasoning with the diagram attached.
1) \mu_{0}is not in the confidence interval
2) p-value < \alpha

Please suggest and comments :)
What exactly are you asking? As I understand it, you are asking if those two reasons are adequate to reject ##H_0##, in which case, it almost follows directly from the definition of the ideas of confidence intervals and significance tests that they are.
I don't think you are asking that. Would you please clarify what you are asking?
 

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