Chi-Square Statistic Calculator Formula
Understand the math behind the chi-square statistic calculator. Each variable explained with a worked example.
Formulas Used
Chi-Square Statistic
chi_square = comp1 + comp2 + comp3Component 1
component1 = comp1Component 2
component2 = comp2Component 3
component3 = comp3Degrees of Freedom (k-1)
df = 2Variables
| Variable | Description | Default |
|---|---|---|
o1 | Observed 1 | 30 |
e1 | Expected 1 | 25 |
o2 | Observed 2 | 20 |
e2 | Expected 2 | 25 |
o3 | Observed 3 | 50 |
e3 | Expected 3 | 50 |
comp1 | Derived value= pow(o1 - e1, 2) / e1 | calculated |
comp2 | Derived value= pow(o2 - e2, 2) / e2 | calculated |
comp3 | Derived value= pow(o3 - e3, 2) / e3 | calculated |
How It Works
How to Calculate the Chi-Square Statistic
Formula
chi-square = Sum of [(Oi - Ei)^2 / Ei]
For each category, compute the squared difference between observed (O) and expected (E) frequencies, divided by the expected frequency. Sum these components. Larger values indicate greater discrepancy between observed and expected. Degrees of freedom = number of categories - 1.
Worked Example
Three categories with observed frequencies 30, 20, 50 and expected 25, 25, 50.
o1 = 30e1 = 25o2 = 20e2 = 25o3 = 50e3 = 50
- 01Component 1: (30-25)^2/25 = 25/25 = 1.0
- 02Component 2: (20-25)^2/25 = 25/25 = 1.0
- 03Component 3: (50-50)^2/50 = 0/50 = 0.0
- 04Chi-square = 1.0 + 1.0 + 0.0 = 2.0
- 05df = 3 - 1 = 2
Ready to run the numbers?
Open Chi-Square Statistic Calculator