Teste Z — 2 Proporções
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
Formula
2 proporções
About this calculator
The Z-Test 2 Proportions calculator is a useful tool for statisticians and researchers who need to compare the difference between two sample proportions. The formula behind this test is simple and effective, allowing you to identify if the observed differences are significant or just random.
The Z-Test 2 Proportions is indicated for use when you have two independent sets of data and want to test if the success proportions are different between the two groups. This is especially useful in case-control studies, where you can compare the frequency of an event in two different groups.
However, it's essential to be careful when using this test. Make sure that the samples are independent and that the variables of interest are measured accurately. Additionally, it's crucial to consider any potential selection bias that may affect the results.
Frequently asked questions
What is the Z-Test 2 Proportions?
The Z-Test 2 Proportions is a statistical test used to compare the difference between two sample proportions. It is especially useful in case-control studies.
When to use the Z-Test 2 Proportions?
Use the Z-Test 2 Proportions when you have two independent sets of data and want to test if the success proportions are different between the two groups.
What is the formula behind the Z-Test 2 Proportions?
The formula behind the Z-Test 2 Proportions is simple and effective, allowing you to identify if the observed differences are significant or just random.
What are the precautions when using the Z-Test 2 Proportions?
Make sure that the samples are independent and that the variables of interest are measured accurately. Additionally, it's crucial to consider any potential selection bias that may affect the results.
What to do if the results of the Z-Test 2 Proportions are significant?
If the results of the Z-Test 2 Proportions are significant, it means that the observed differences between the success proportions are statistically significant.