The P-Value Calculator is a statistical tool designed to determine the significance of test results in hypothesis testing. It helps researchers, analysts, and students assess whether to reject the null hypothesis based on observed data.

Key Features

✅ Supports Multiple Test Types – Calculate P-values for Z-tests, T-tests, Chi-Square tests, and ANOVA.
✅ Instant Significance Testing – Determine statistical significance with real-time calculations.
✅ Customizable Confidence Levels – Choose from 90%, 95%, or 99% significance levels.
✅ Graphical Visualization – Display standard distribution curves with highlighted P-values.
✅ PDF Report Generation – Export detailed results with statistical summaries and visual insights.

Use Cases

📌 Academic & Scientific Research – Evaluate experimental results and statistical significance.
📌 Business & Finance Analysis – Test market hypotheses and investment risk factors.
📌 Healthcare & Clinical Trials – Determine effectiveness of treatments in medical studies.
📌 Quality Control & Manufacturing – Assess product variations and defect rates.

How It Works

1️⃣ Select Test Type – Choose between Z-test, T-test, Chi-Square test, or ANOVA.
2️⃣ Input Data – Enter test statistics, sample size, degrees of freedom (if applicable), and significance level.
3️⃣ Run Calculation – The tool computes the P-value and compares it with the chosen confidence level.
4️⃣ Interpret Results – Determine whether to reject or fail to reject the null hypothesis.
5️⃣ Download PDF Report – Export a comprehensive statistical summary with calculations and visual representations.

This tool simplifies hypothesis testing, making statistical analysis quick, accurate, and user-friendly. 🚀