- In practice, we may trust this test when the number of successes is 10 or greater and the number of failures is 10 or greater. That is, when $np_0 \geq 10$ and $n(1 - p_0) \geq 10$.
Sample Size $n$: | |
Sample Proportion $\hat{p}$: | |
Null Hypothesis: | $H_0: p=p_0=$ |
Alternative Hypothesis: | $H_a:p$ $p_0$ |
Significance Level: | $\alpha=$ |
Sample Size: | $n=$ |
Sample Proportion: | $\hat{p}=$ |
Standard Error: | $\mbox{SE}_{\hat{p}}=$ |
Critical $z$ Value: | $z^{*}=$ |
$z$ Statistic: | $z=$ |
$p\mbox{-value}$: | $p\mbox{-value}=$ |