Howtosignalprocessing
A very large chi square test statistic means that the sample data (observed values) does not fit the population data (expected values) very well. In other words, there isn't a relationship.
- What is a good chi-square value?
- What does it mean if your chi-square value is high?
- What is a high or low chi-square value?
- How much chi-square value is significant?
What is a good chi-square value?
You can safely use the chi-square test with critical values from the chi-square distribution when no more than 20% of the expected counts are less than 5 and all individual expected counts are 1 or greater. In particular, all four expected counts in a 2 × 2 table should be 5 or greater.
What does it mean if your chi-square value is high?
The larger the Chi-square value, the greater the probability that there really is a significant difference. There is a significant difference between the groups we are studying.
What is a high or low chi-square value?
The chi-squared statistic is a single number that tells you how much difference exists between your observed counts and the counts you would expect if there were no difference at all in the population. A low value for chi-square means there is little difference between what was observed and what would be expected.
How much chi-square value is significant?
Among statisticians a chi square of . 05 is a conventionally accepted threshold of statistical significance; values of less than . 05 are commonly referred to as "statistically significant." In practical terms, a chi square of less than .
