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Understanding Hypothesis Testing and Conclusions
Nov 1, 2024
Lecture Notes: Hypothesis Testing Decisions and Conclusions
Key Definitions
Null Hypothesis (Hโ):
The baseline statement against which we test.
Alternative Hypothesis (Hโ):
The claim we are trying to support with evidence.
Decision Language
Decisions:
We either "reject" or "do not reject" the null hypothesis.
Important:
Never use the word "accept" for the null hypothesis.
Error Consideration:
Errors can occur in decision-making which explains the avoidance of the term "accept."
Conclusion Wording:
Based on evidence, the decision must be clearly articulated.
Writing Conclusions
If Reject Null (Hโ):
"There is sufficient evidence to support the alternative claim."
Specify the claim's context rather than using just notation.
If Do Not Reject Null (Hโ):
"There is not sufficient evidence to support the alternative claim."
Again, specify the claim context.
Example 1: Applesauce Manufacturer
Context:
FDA labeling issue, a claim of less content than labeled.
Hypotheses:
Null (Hโ): Mean (ยต) = 64 ounces (as per label)
Alternative (Hโ): Mean (ยต) < 64 ounces (shorting customers)
Decision:
Reject the null hypothesis.
Conclusion:
"There is sufficient evidence to support the claim that the manufacturer of applesauce is shorting customers."
Example 2: Massage Therapist Technique
Context:
Reducing migraines via a new technique.
Hypotheses:
Null (Hโ): Proportion (p) = 0.152 (15.2% of Americans with migraines)
Alternative (Hโ): Proportion (p) < 0.152 (technique decreases frequency)
Decision:
Do not reject the null hypothesis.
Conclusion:
"There is not sufficient evidence to support the claim that the massage therapist's technique reduces the frequency and intensity of migraines."
Additional Notes
Focus on Null Hypothesis for Decision Making:
Decisions are framed around the null hypothesis.
Conclusions are framed around the support or lack of support for the alternative hypothesis.
Wording:
Language contextualization is important for clarity in conclusions.
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