Hypothesis Testing Calculator
A hypothesis testing calculator helps determine if there's enough statistical evidence to reject a null hypothesis. It calculates z-scores and p-values to assess the significance of sample data compared to population parameters, enabling data-driven decisions in research and business analytics.
Install Calculator
Formula
Z = (x̄ - μ) / (σ/√n)
Where:
x̄ = Sample Mean, μ = Population Mean
σ = Standard Deviation, n = Sample Size
Where:
x̄ = Sample Mean, μ = Population Mean
σ = Standard Deviation, n = Sample Size
How to Use
Enter population parameters and sample data. Click calculate to get z-score and compare with critical value. If absolute z-score > critical value, reject null hypothesis. Results show statistical significance at chosen α level (default 0.05).