Calculate Z-Score from Proportion
Calculating the Z-score from a proportion is crucial in statistics to compare data points from different samples or populations. It measures how many standard deviations an element is from the mean.
- Enter the proportion and sample size.
- Click ‘Calculate’.
- View your Z-score and chart.
The formula to calculate the Z-score from a proportion is:
Z = (p – μ) / σ
where p is the proportion, μ is the population mean, and σ is the population standard deviation.
| Proportion | Sample Size | Z-Score |
|---|---|---|
| 0.5 | 100 | 0 |
| 0.6 | 100 | 0.8416 |
- Understand the assumptions behind the formula.
- Use the correct standard deviation for your data.
- Interpret Z-scores in the context of your data.
What is a Z-score?
A Z-score is a measure of how many standard deviations an element is from the mean.