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The chi-square value is determined using the formula below: X 2 = (observed value - expected value) 2 / expected value. Returning to our example, before the test, you had anticipated that 25% of the students in the class would achieve a score of 5. As such, you expected 25 of the 100 students would achieve a grade 5.
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.
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 chi square test calculator performs the chi-square statistics with the help of chi-square distribution formula to test the validation of the null hypothesis and determine whether observed data fits for expected distributions or whether there is a significant association between different variables.
Chi-square Calculator. 1. Select category. 2. Choose calculator. 3. Enter data. 4. View results. Compare observed and expected frequencies. This calculator compares observed and expected frequencies within (up to 20) categories using the chi-square test.
The chi-square calculator computes two cumulative probabilities: P(Χ 2 ≤ x): The probability that a chi-square statistic falls between 0 and some critical value (x). P(Χ 2 ≥ x): The probability that a chi-square statistic falls between some critical value (x) and plus infinity.
Chi Square Calculator for 2x2. This simple chi-square calculator tests for association between two categorical variables - for example, sex (males and females) and smoking habit (smoker and non-smoker).
