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Inference for Proportions

One-Sample z-test for Population Proportion

z-test for Population Proportion

Used to test whether the population proportion, pp, has changed A random sample of nn individuals from the population with a sample proportion of p^\hat{p} is used to try to prove the case

Conditions for A z-test for Population Proportion

  • Items in the sample satisfy the independence condition
    • Random sampling/assignment
    • If without replacement, n<0.1Nn < 0.1N
  • Sample size is large enough such that sampling distribution is approximately a normal distribution

    • np010np_0 \geq 10
    • n(1p0)10n(1-p_0) \geq 10
    • p0p_0 is the population proportion in the null hypothesis, p=p0p = p_0
  • z=statisticsparameterstandard error of the statisticz = \dfrac{statistics - parameter}{standard\ error\ of\ the\ statistic}

  • standard error of the statistic=p0(1p0)nstandard\ error\ of\ the\ statistic = \sqrt{\dfrac{p_0(1-p_0)}n}

Confidence Interval

confidence interval=p^±zp0(1p0)nconfidence\ interval = \hat{p} \pm z \cdot \sqrt{\dfrac{p_0(1-p_0)}n}