What Students Will Learn
• What a hypothesis test for a proportion is and when to use it
• How to correctly define:
✔ Population proportion §
✔ Sample proportion (p̂)
✔ Hypothesized value (p₀)
• How to identify and use a one-sample z-test for proportions
• The meaning of the p-value and how it is interpreted
• How to set up hypotheses correctly:
✔ H₀: p = p₀
✔ Hₐ: p > p₀, p < p₀, or p ≠ p₀
• How to determine the correct direction of the test
• How to check all required conditions:
✔ Random
✔ Independence (10% condition)
✔ Normality (np₀ ≥ 10 and n(1 − p₀) ≥ 10)
Topics Covered
• One-sample z-test for proportions
• Understanding p-values
• Setting up null and alternative hypotheses
• Right-tailed, left-tailed, and two-tailed tests
• Conditions for valid inference
• Step-by-step test setup process
• Fully worked examples
• Common mistakes and exam traps
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