# Important Chi-Square Test MCQs with Answers 4

The post is about the Chi-Square Test MCQS with Answers. The Chi-square test is used to find the association between attributes. Let us start with the Chi-Square Test MCQs with Answers.

Online Multiple Choice Questions about Chi-square Association

1. The eye colour of students in a girls college is an example of

2. The value of $\chi^2$ is always

3. In a $3 \times 3$ contingency table, the degrees of freedom is

4. If $A$ and $B$ are independent attributes then the coefficient of associate is

5. In a contingency table with $r$ rows and $c$ columns, the degree of freedom is

6. The two attributes are said to be ———–, if for every cell of the contingency table, the observed frequency $O_{ij}$ is equal to the expected frequency $e_{ij}$

7. If $(AB) = \frac{(A)(B)}{n}$ the attributes $A$ and $B$ are said to be

8. A characteristic which cannot be measured numerically is called

9. The Spearman’s coefficient of rank correlation always lies between

10. If $\chi^2_{calculated}$ is greater than the critical region, then the attributes are

11. The coefficient of contingency is measured by

12. The $\chi^2$ distribution is

13. Which of the following is not an example of an attribute

14. The Yule’s coefficient of association lies between

15. If $\chi^2_{calculated} = 0$ then

16. Religions of the people of a country is

17. $(\alpha \beta)$ is the frequency of the class of the order

18. In a Chi-Square test of independence, no expected frequencies should be

19. The degree of relationship between two attributes is called

20. If $(AB) < \frac{(A)(B)}{n}$ then the two attributes $A$ and $B$ are said to be

The relationship/ Dependency between the attributes is called association and the measure of degrees of relationship between attributes is called the coefficient of association. The Chi-Square Statistic is used to test the association between the attributes. The Chi-Square Association is defined as

$$\chi^2 = \sum \frac{(of_i – ef_i)^2}{ef_i}\sim \chi^2_{v}$$