How to apply chi square formula if the expected value is 0?

1. How to do chi-squared when expected is 0?
2. Can you do chi-square with zero values?
3. What does a chi-square of 0.00 mean?
4. How do you handle chi-square test with low expected values?

How to do chi-squared when expected is 0?

If the expected is actually zero and the observed is not zero, the chi-square value would be infinity.

Can you do chi-square with zero values?

The Chi-square value is a single number that adds up all the differences between our actual data and the data expected if there is no difference. If the actual data and expected data (if no difference) are identical, the Chi-square value is 0.

What does a chi-square of 0.00 mean?

Chi-square ranges from 0-infinity. A 0 means the two variables are completely independent. No relationship whatsoever between the two variables.

How do you handle chi-square test with low expected values?

The conventional rule of thumb is that if all of the expected numbers are greater than 5, it's acceptable to use the chi-square or G–test; if an expected number is less than 5, you should use an alternative, such as an exact test of goodness-of-fit or a Fisher's exact test of independence.