Run a chi-square goodness-of-fit test. Enter observed and expected counts for each category to determine whether the difference is statistically significant.
Run a chi-square goodness-of-fit test. Enter observed and expected counts for each category to see whether the difference is statistically significant.
How to interpret chi-square results
The chi-square statistic measures how far observed counts deviate from expected counts. A p-value above 0.05 means the deviation is not statistically significant – the data fits the expected distribution. A p-value below 0.05 means you reject the null hypothesis.