The Paired Sample T-Test Calculator is a statistical tool used to compare the means of two related (paired) datasets to determine if there is a significant difference between them. It is commonly used in clinical trials, financial analysis, A/B testing, and experimental research where the same subjects are measured under different conditions.

Key Features

✅ Paired Data Analysis – Compares two dependent samples (e.g., before vs. after treatment).
✅ Customizable Confidence Level – Choose 90%, 95%, or 99% confidence intervals.
✅ Effect Size Calculation – Computes Cohen’s d for measuring the strength of differences.
✅ Graphical Visualization – Displays paired data plots, mean differences, and distribution curves.
✅ PDF Report Generation – Export test results, statistical interpretations, and visual insights.

Use Cases

📌 Medical & Clinical Research – Analyze pre-treatment and post-treatment effects on the same patients.
📌 A/B Testing & Product Evaluations – Compare user behavior before and after an intervention.
📌 Educational & Psychological Studies – Assess differences in test scores or survey responses over time.
📌 Financial & Business Analysis – Compare revenue, stock prices, or other financial metrics before and after policy changes.

How It Works

1️⃣ Input Paired Data – Enter two related datasets manually or upload a CSV file.
2️⃣ Run Paired T-Test – The tool calculates the t-statistic, p-value, mean differences, and confidence interval.
3️⃣ Analyze Statistical Significance – Determine if the observed difference is statistically meaningful.
4️⃣ Visualize Results – View comparison graphs, paired data plots, and normal distribution curves.
5️⃣ Download PDF Report – Export the full analysis, including test statistics, effect size, and visualizations.

This tool simplifies hypothesis testing for dependent samples, making it essential for researchers, analysts, and data-driven professionals. 🚀