Hypothesis Testing Tool (Z-test, T-test, Chi-square, ANOVA)

Free Hypothesis Testing Tool online. Perform Z-test, T-test, Chi-square, and ANOVA with step-by-step results and interpretation for research.

Hypothesis Testing Tool (Z-test, T-test, Chi-square, ANOVA)


hypothesis-testing-tool-ztest-ttest-chi-square-anova

Do you need a quick and reliable way to test hypotheses in statistics? This free Hypothesis Testing Calculator helps students, teachers, economists, statisticians, and researchers perform:

  • Z-test (one-sample & two-sample)
  • T-test (one-sample, paired, independent)
  • Chi-square test (goodness-of-fit & independence)
  • ANOVA (one-way analysis of variance)

It generates step-by-step results including test statistics, degrees of freedom, p-value, and decision rule instantly.


Why This Tool?

As a statistician and economist, I know how tedious hypothesis testing can be without software. This online tool saves time and reduces error by instantly providing test results with interpretations. It’s especially useful for:

  • 🎓 Students – quick homework and exam preparation.
  • 📊 Teachers – explaining statistical tests in class.
  • 📈 Researchers – analyzing experimental or survey data.
  • 🏦 Professionals – making data-driven business decisions.

Try it now and share how it helps you in the comments!

Hypothesis Testing Tool (Z-test, T-test, Chi-square, ANOVA)

Use this free online Hypothesis Testing Tool to compute test statistics, degrees of freedom, and p-values with clear “Reject/Fail to reject” decisions. Supports: Z-test (one-sample mean, σ known), T-test (one-sample, two-sample Welch, paired), Chi-square (goodness-of-fit, independence), and one-way ANOVA.


How to use

  1. Pick a test from the dropdown.
  2. Enter data (raw lists or summary where required).
  3. Choose the alternative (two-tailed / left / right) where applicable and set α.
  4. Click Calculate to see results and interpretation.

Hypothesis Testing Tool (Z-test, T-test, Chi-square, ANOVA)


Examples

  • Z-test (one-sample): Raw data 12, 15, 14, 16, 13; μ₀=14; σ=2.
  • T-test (two-sample Welch): X: 10,12,9,11; Y: 13,14,12,15; Δ=0.
  • Chi-square GOF: Observed 18,22,20,15,25; Expected blank (equal expected).
  • Chi-square independence:
    10,20,30
    6,14,20
  • ANOVA:
    12,13,11
    15,14,16,17
    10,9,11,8

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