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. A characteristic which cannot be measured numerically is called

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

7. Religions of the people of a country is

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

11. The Yule’s coefficient of association lies between

 
 
 
 

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

 
 
 
 

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

 
 
 
 

14. The degree of relationship between two attributes is called

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

18. The coefficient of contingency is measured by

 
 
 
 

19. 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 $e_{ij}$

 
 
 
 

20. The $\chi^2$ distribution is

 
 
 
 


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

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

where $v$$ denotes the degrees of freedom.

The Chi-Square tests:

  • are appropriate for categorical data, not continuous data (like height or weight).
  • The data needs to be from a random sample and have sufficient sample size for the test to be reliable.
  • The test results in a chi-square statistic and a p-value.

Chi-Square Test MCQs with Answers

  • A characteristic which cannot be measured numerically is called
  • Which of the following is not an example of an attribute
  • The eye colour of students in a girl’s college is an example of
  • Religions of the people of a country is
  • The degree of relationship between two attributes is called
  • In a contingency table with $r$ rows and $c$ columns, the degree of freedom is
  • The $\chi^2$ distribution is
  • If $\chi^2_{calculated}$ is greater than the critical region, then the attributes are
  • In a $3 \times 3$ contingency table, the degrees of freedom is
  • The Spearman’s coefficient of rank correlation always lies between
  • The Yule’s coefficient of association lies between
  • If $(AB) < \frac{(A)(B)}{n}$ then the two attributes $A$ and $B$ are said to be
  • If $(AB) = \frac{(A)(B)}{n}$ the attributes $A$ and $B$ are said to be
  • The coefficient of contingency is measured by
  • If $\chi^2_{calculated} = 0$ then
  • $(\alpha \beta)$ is the frequency of the class of the order
  • If $A$ and $B$ are independent attributes then the coefficient of associate is
  • The value of $\chi^2$ is always
  • In a Chi-Square test of independence, no expected frequencies should be
  • 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 $e_{ij}$
Chi-Square Test MCQs with Answers

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