The Two-Sample T-Test Calculator is a statistical tool used to compare the means of two independent groups and determine if there is a significant difference between them. It is widely used in research, business analytics, healthcare, and A/B testing to make data-driven decisions.

Key Features

✅ Supports Equal & Unequal Variance (Welch’s T-Test) – Choose between standard and Welch’s t-test.
✅ Customizable Confidence Level – Select 90%, 95%, or 99% confidence intervals.
✅ Effect Size Calculation – Compute Cohen’s d to measure the strength of differences.
✅ Graphical Visualization – Displays box plots and distribution curves for comparison.
✅ PDF Report Generation – Export statistical results, p-values, confidence intervals, and visualizations.

Use Cases

📌 Medical & Clinical Research – Compare treatment outcomes between two patient groups.
📌 A/B Testing & Marketing Analytics – Analyze performance differences between two product variations.
📌 Education & Social Sciences – Assess differences in test scores, survey responses, or behavior patterns.
📌 Financial & Economic Analysis – Compare stock returns, economic indicators, or investment performances.

How It Works

1️⃣ Input Data – Enter two datasets manually or upload a CSV file.
2️⃣ Choose T-Test Type – Select Equal Variance (Student’s t-test) or Unequal Variance (Welch’s t-test).
3️⃣ Run Analysis – The tool computes the t-statistic, p-value, confidence intervals, and effect size.
4️⃣ Visualize Results – View comparison graphs, including box plots and normal distribution curves.
5️⃣ Download PDF Report – Export the complete statistical analysis, including interpretation of results.

This tool simplifies hypothesis testing, making it accessible for researchers, analysts, and data scientists. 🚀