One-sample Proportion Test
Test whether a population proportion equals a hypothesized value using a z-test.
One-sample Proportion z-test
Tests whether a population proportion equals a hypothesized value p₀. With x successes in n trials, p̂ = x ÷ n and z = (p̂ − p₀) ÷ √(p₀(1−p₀)/n).
Inputs
- Successes x, trials n
- Null proportion p₀
- Alternative: p < p₀, p > p₀, or p ≠ p₀
- Significance level α
Assumptions
- Independent Bernoulli trials
- Normal approximation: expected successes np₀ and failures n(1−p₀) at least ~10
Example
Suppose x=52, n=100, p₀=0.50. Then p̂=0.52 and SE=√(0.5×0.5/100)=0.05. z=(0.52−0.50)/0.05=0.40. Two-tailed p-value≈2×(1−Φ(0.40))≈0.689.
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How to use the One-sample Proportion Test
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- 1
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- 3
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