Search results
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.
- Fisher Exact Test
The Fisher exact test tends to be employed instead of...
- Simple 2 X 2 Table Calculator
Chi-Square Calculator Note: You can find further information...
- Wilcoxon Signed-Rank Test Calculator
Remember, because the Wilcoxon signed-rank test is for...
- Chi Square Calculator for 2x2
Chi Square Calculator for 2x2. This simple chi-square...
- Fisher Exact Test
1 dzień temu · Pomaga określić istotność wyników. p = P (χ 2> calculated χ 2) Gdzie: p = p-Wartość. χ 2 = Statystyka Chi-Kwadrat. Niska p-wartość (zazwyczaj ≤ 0,05) wskazuje na silne dowody przeciwko hipotezie zerowej, sugerując, że istnieje znaczący związek między zmiennymi. Wysoka p-wartość (> 0,05) sugeruje słabe dowody przeciwko ...
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.
Chi-Square test calculator. Goodness of fit test, test of independence/association include fisher exact test calculator, McNemar test. Calculates p-value, power, effect. draw distribution chart and a histogram. Using a dynamic table.
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).
The chi-square test of goodness of fit is used to test the hypothesis that the total sample N is distributed evenly among all levels of the relevant factor.
