If there are small or no differences between observed and expected frequencies, the two variables are likely independent. They are probably not related. Chi-square ranges from 0-infinity. A 0 means the two variables are completely independent. No relationship whatsoever between the two variables.
- What does a chi-square value of zero mean?
- Can you get chi-square of 0?
- What does at value of 0 mean?
- How do you interpret chi-square results?
What does a chi-square value of zero mean?
Zero represents the null hypothesis. If all your observed frequencies equal the expected frequencies exactly, the chi-squared value for each cell equals zero, and the overall chi-squared statistic equals zero. Zero indicates your sample data exactly match what you'd expect if the null hypothesis is correct.
Can you get chi-square of 0?
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 at value of 0 mean?
A t-value of 0 indicates that the sample results exactly equal the null hypothesis. As the difference between the sample data and the null hypothesis increases, the absolute value of the t-value increases.
How do you interpret chi-square results?
For a Chi-square test, a p-value that is less than or equal to your significance level indicates there is sufficient evidence to conclude that the observed distribution is not the same as the expected distribution. You can conclude that a relationship exists between the categorical variables.