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Chi-Square Calculator. You can use this chi-square calculator as part of a statistical analysis test to determine if there is a significant difference between observed and expected frequencies. To use the calculator, simply input the true and expected values (on separate lines) and click on the "Calculate" button to generate the results.
Use this Chi Square calculator to easily test contingency tables of categorical variables for independence or for a goodness-of-fit test. Can be used as a Chi-Square goodness-of-fit calculator , as a Chi-Square test of independence calculator or as a test of homogeneity.
This calculator compares observed and expected frequencies within (up to 20) categories using the chi-square test. Enter the names of the categories into the first column, then enter the actual counts observed and expected for each group.
This is a easy chi-square calculator for a contingency table that has up to five rows and five columns (for alternative chi-square calculators, see the column to your right). The calculation takes three steps, allowing you to see how the chi-square statistic is calculated.
26 wrz 2024 · Chi-Square Calculator. Unsure if your data is consistent with the expected value? Chi-square can help you understand how similar it is to the expected value or outcome. Required Information. Observed Value: Expected Value: Calculate. What is Chi-Square?
This web page is intended to provide a brief introduction to chi-square tests of independence and goodness-of-fit. These tests are used to detect group differences using frequency (count) data. This page also provides an interactive tool allowing researchers to conduct chi-square tests for their own research.
