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The chi-squared test is used to compare the observed results with the expected results. If expected and observed values are equal then chi-squared will be equal to zero. If chi-squared is equal to zero or very small, then the expected and observed values are close. Calculating the chi-squared value allows one to determine if there is a statistical significance between the observed and expected values.
The formula for chi-squared is:
X^2 = sum((observed - expected)^2 / expected)
Using the degrees of freedom, use a table to determine the critical value.
If X^2 > critical value, then there is a statistically significant difference between the observed and expected values.
If X^2 < critical value, there there is no statistically significant difference between the observed and expected values.
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What is a Chi Square table used for?
A Chi-square table is used in a Chi-square test in statistics. A Chi-square test is used to compare observed data with the expected hypothetical data.
Why use chi-square?
the Chi Square distribution is a mathematical distribution that is used directly or indirectly in many tests of significance. The most common use of the chi square distribution is to test differences among proportions
Can population percentage be used to calculate chi-square goodness of fit test?
No, it cannot be used to measure that.
Is ' chi square test ' a multivariate tool?
no
What measures of association can be used for nominal data?
A powerful test is the chi-square contingency table.
