Z-test Calculator
Our Z-test calculator is here to help you learn about, and perform, a one-sample Z-test.

What Z-test Calculator does
A one-sample Z-test calculator that determines whether a sample mean significantly differs from a known or hypothesized population mean. Users input the sample mean, population standard deviation, sample size, and assumed population mean to receive a calculated Z-score, p-value, and statistical conclusion. The tool supports both two-tailed and one-tailed tests, allowing users to select their preferred approach for determining significance. It also provides educational context about Z-test assumptions and formulas, making it useful for learning as well as calculation.
How to use the Omni Calculator Z-test Calculator
- 1
Enter your sample mean value
- 2
Input the known population standard deviation
- 3
Provide the sample size
- 4
State the assumed population mean
- 5
Select the test type (two-tailed or one-tailed) and significance level to view the Z-score and p-value results
Best for
Students, educators, and researchers who need to quickly calculate a one-sample Z-test and understand whether their sample mean differs significantly from a population mean, especially when the population standard deviation is known.
Limitations
- Requires the population standard deviation as a known value
- Assumes data follows a normal distribution
- Designed for one-sample tests only, not comparing two groups
Z-test Calculator FAQ
- When should I use a Z-test instead of a t-test?
- Use a Z-test when the population standard deviation is known and the sample size is large (typically n > 30). Use a t-test when the population standard deviation is unknown and must be estimated from the sample.
- What does the p-value from a Z-test tell me?
- The p-value represents the probability of observing a test statistic as extreme as, or more extreme than, the calculated Z-score if the null hypothesis is true. A small p-value (typically < 0.05) suggests the sample mean is significantly different from the population mean.
- Can this calculator handle one-tailed Z-tests?
- Yes, the tool supports both two-tailed and one-tailed Z-tests. Users can select their preferred test type to determine significance in a specific direction.
- What is the formula used by this Z-test calculator?
- The Z-score is calculated as (sample mean - population mean) divided by (population standard deviation divided by the square root of the sample size). The calculator then derives the p-value from this Z-score.
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