Statistics Hypothesis Testing Calculator
This calculator helps researchers and students perform statistical hypothesis testing using Z-test. It determines if there's significant evidence to reject the null hypothesis by calculating z-score, comparing it with critical values, and providing conclusion based on the selected significance level.
Test Results:
| Z-Score | Critical Value | Conclusion |
|---|---|---|
Formula
Z = (x̄ - μ) / (σ/√n)
Where:
x̄ = Sample Mean
μ = Population Mean
σ = Standard Deviation
n = Sample Size
How to Use
1. Enter sample mean and population mean
2. Input standard deviation and sample size
3. Select significance level (default 0.05)
4. Click Calculate to get z-score and conclusion
5. Compare results with critical values to accept/reject null hypothesis
Development Process
1. Designed UI layout with input fields
2. Implemented Z-score formula in JavaScript
3. Added critical value lookup for α levels
4. Created result interpretation logic
5. Tested with sample datasets
6. Added responsive design and validation