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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.