Sample size to test proportions
Use this calculator to find the minimum sample size required to test the proportions $p_1-p_2$.
| Sample Size to test proportion | ||
|---|---|---|
| Confidence Level ($1-\alpha$) | ||
| Power ($1-\beta$) | ||
| First group proportion: ($p_1$) | ||
| Second group proportion: ($p_2$) | ||
| Results | ||
| Effect Size ($ES$) | ||
| Z value: $Z_{1-\alpha/2}$ | ||
| Z value: $Z_{1-\beta}$ | ||
| Required Sample Size : ($n$) | ||
Sample size to test proportions
The formula for determining the sample size required in each group t ensure that the test has a specified power is
$$ n_i =2\bigg(\frac{Z_{1-\alpha/2}+Z_{1-\beta}}{ES}\bigg)^2; i=1,2. $$
where
- $\alpha$ is the selected level of significance,
- $1-\beta$ is the selected power and
- $ES$ is the effect size.
The $ES$ is defined as
$$ ES=\frac{|p_1-p_2|}{\sqrt{p*(1-p)}} $$
where
- $p_1$ is the proportion for first group,
- $p_2$ is the proportion for second group,
- $p$ is the overall proportion, based on pooling the data from the two comparison groups, that is $p=\frac{p_1+p_2}{2}$.
