A G-test of Goodness of Fit is used to determine whether or not a categorical variable follows a hypothesized distribution.
To perform a G-test of Goodness of Fit, simply enter a list of observed and expected values for up to 10 categories in the boxes below, then click the “Calculate” button:
| Category | Observed | Expected |
|---|---|---|
| Category 1 | ||
| Category 2 | ||
| Category 3 | ||
| Category 4 | ||
| Category 5 | ||
| Category 6 | ||
| Category 7 | ||
| Category 8 |
G Test Statistic: 10.337194
p-value: 0.005693
Hey there. My name is Zach Bobbitt. I have a Masters of Science degree in Applied Statistics and I’ve worked on machine learning algorithms for professional businesses in both healthcare and retail. I’m passionate about statistics, machine learning, and data visualization and I created Statology to be a resource for both students and teachers alike. My goal with this site is to help you learn statistics through using simple terms, plenty of real-world examples, and helpful illustrations.