# What is the output of chi square test?

## What is the output of chi square test?

If your chi-square calculated value is greater than the chi-square critical value, then you reject your null hypothesis. If your chi-square calculated value is less than the chi-square critical value, then you “fail to reject” your null hypothesis.

**What do chi-square values tell us?**

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 relationship at all in the population. A low value for chi-square means there is a high correlation between your two sets of data.

**What is a large Chi-square value?**

The larger the Chi-square value, the greater the probability that there really is a significant difference. The amount of difference between expected and actual data is likely just due to chance. Thus, we conclude that our sample does not support the hypothesis of a difference.

### What is Chi-square x2 independence test?

The Chi-square test of independence is a statistical hypothesis test used to determine whether two categorical or nominal variables are likely to be related or not.

**Can you use Chi-square for ordinal data?**

The assumptions of the Chi-square include: The data in the cells should be frequencies, or counts of cases rather than percentages or some other transformation of the data. However, data may be ordinal data. Interval or ratio data that have been collapsed into ordinal categories may also be used.

**How do you summarize Chi-square results?**

How to Report Chi-Square Results in APA Format

- Round the p-value to three decimal places.
- Round the value for the Chi-Square test statistic X2 to two decimal places.
- Drop the leading 0 for the p-value and X2 (e.g. use . 72, not 0.72)

#### What is a high chi-square value?

Intepreting the Chi Square Statistic A very small chi square test statistic means means there is a high correlation between the observed and expected values. A very large chi square test statistic means that the sample data (observed values) does not fit the population data (expected values) very well.

**Why is my chi squared value so high?**

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.