The Chi-Square Test Calculator is a statistical tool designed to test relationships between categorical variables. It helps users determine whether observed data significantly deviates from expected distributions, making it ideal for research, business analysis, and academic studies.

Key Features

✅ Supports Two Types of Chi-Square Tests – Perform Goodness-of-Fit (comparing observed vs. expected distributions) and Test for Independence (analyzing relationships between categorical variables).
✅ Instant P-Value Calculation – Computes chi-square statistic, degrees of freedom, and significance level.
✅ Customizable Data Input – Enter observed and expected values in a table format.
✅ Graphical Representation – Visualize results with bar charts and contingency tables.
✅ PDF Report Generation – Export statistical summaries and visualizations for documentation or presentations.

Use Cases

📌 Market Research & Surveys – Analyze customer preferences, purchasing behavior, and survey responses.
📌 Academic & Scientific Research – Test hypotheses in experiments involving categorical data.
📌 Business & Finance Analysis – Evaluate consumer trends, risk assessments, and operational patterns.
📌 Healthcare & Social Sciences – Investigate medical outcomes, patient demographics, and social behavior patterns.

How It Works

1️⃣ Select Test Type – Choose between Goodness-of-Fit (single categorical variable) or Test for Independence (relationship between two variables).
2️⃣ Input Data – Enter observed frequencies and expected values if applicable.
3️⃣ Run the Analysis – The tool calculates the chi-square statistic, p-value, and degrees of freedom.
4️⃣ Interpret Results – Review statistical significance and graphical outputs.
5️⃣ Download PDF Report – Export a full report with analysis, tables, and visual insights.

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