# Chi-Square Distribution Calculator

Calculate chi-square distribution PDF, CDF, and right-tail probability from a statistic and degrees of freedom

> Canonical page: https://elysiatools.com/en/tools/chi-square-distribution-calculator

- **Category:** Math & Numbers

- **Keywords:** chi-square distribution, chi-square test, p value, statistics

## Overview

Calculate probabilities for chi-square tests, goodness-of-fit tests, and variance-related statistics.

## Inputs

- **Chi-Square Value** (number)
- **Degrees of Freedom** (number)
- **Probability Mode** (select)
- **Decimal Places** (number)

## When to use

- Evaluating goodness-of-fit to determine if observed sample data matches an expected population distribution.
- Testing the independence of two categorical variables using data from a contingency table.
- Calculating exact p-values for variance-related statistical tests to determine statistical significance.

## How it works

- Enter your calculated chi-square statistic into the primary input field.
- Specify the degrees of freedom associated with your specific statistical test.
- Select your preferred probability mode (left-tail or right-tail) and set the desired number of decimal places.
- The calculator instantly computes the corresponding probabilities and returns the results in a structured JSON format.

## Use cases

- Biology researchers analyzing genetic cross data to verify if observed traits fit expected Mendelian inheritance ratios.
- Market analysts determining if customer purchasing preferences are independent of specific demographic segments.
- Quality control engineers testing whether the variance of a manufacturing process meets specified operational standards.

## Frequently asked questions

### What is a chi-square distribution?

It is a continuous probability distribution of the sum of the squares of independent standard normal variables, widely used in hypothesis testing and confidence interval estimation.

### How do I determine the degrees of freedom?

For a goodness-of-fit test, it is typically the number of categories minus one. For a test of independence in a contingency table, it is calculated as (rows - 1) multiplied by (columns - 1).

### What does the right-tail probability represent?

The right-tail probability represents the p-value. It indicates the likelihood of observing a chi-square statistic as extreme as, or more extreme than, the one calculated, assuming the null hypothesis is true.

### Can I adjust the precision of the calculated probabilities?

Yes, you can use the decimal places setting to round the calculated probabilities to your required level of precision, supporting up to 10 decimal places.

### What is the difference between left-tail and right-tail modes?

The left-tail mode calculates the cumulative probability up to your statistic (CDF), while the right-tail mode calculates the probability exceeding your statistic, which is commonly used for finding p-values.

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