What is the One Sample Z-Test Calculator?

The One Sample Z-Test Calculator helps users determine whether a sample mean is significantly different from a known population mean when the population standard deviation is known. By entering the sample mean, population mean, population standard deviation, and sample size, the tool computes the Z-statistic and the corresponding p-value for two-tailed, left-tailed, or right-tailed tests. This makes it useful for students, researchers, and analysts who need a fast and accurate way to test hypotheses about population parameters, ensuring clear interpretation of statistical results.

How to Use:

1. Enter Sample Mean (x̄): Input the average value of your sample.
2. Enter Population Mean (μ): Provide the known or claimed population mean.
3. Enter Population Standard Deviation (σ): Type the population SD, which must be a positive value.
4. Enter Sample Size (n): Input the number of observations in your sample.
5. Select Test Type: Choose whether you want a two-tailed, left-tailed, or right-tailed hypothesis test.
6. Click “Calculate Z-Test”: The tool computes the Z-statistic and p-value instantly.
7. Review Result: The output displays the Z-value and p-value clearly to help you determine statistical significance.