Compare calculators

Both calculators run independently — change the inputs on either side to compare results.

Chi-Square Test Calculator

Compute the chi-square test statistic contribution for one observed-vs-expected category pair using χ² = (observed − expected)² / expected. Sum these contributions across all categories to get the total χ² statistic for goodness-of-fit or independence tests.

Observed Frequency

Expected Frequency

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Probability

Hypothesis Test Calculator

Run a one-sample z-test or t-test to determine whether a sample mean significantly differs from a hypothesized population mean. Essential for quality control, clinical trials, and academic research.

Sample Mean

Hypothesized Mean (μ₀)

Sample Standard Deviation

Sample Size (samples)

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Key differences

	Chi-Square Test Calculator	Hypothesis Test Calculator
Category	Statistics	Probability
Inputs required	2	4
Result	Chi-Square Value	Test Statistic
What it does	Compute the chi-square test statistic contribution for one observed-vs-expected category pair using χ² = (observed − expected)² / expected. Sum these contributions across all categories to get the total χ² statistic for goodness-of-fit or independence tests.	Run a one-sample z-test or t-test to determine whether a sample mean significantly differs from a hypothesized population mean. Essential for quality control, clinical trials, and academic research.