MCQs Chi-Square Association

This post is about MCQs on Chi-Square Association.
The relationship/ Dependency between the attributes is called association and the measure of degrees of relationship between the 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 following is the MCQs Chi-Square Association Test

MCQs about Association between the attributes.

1. Two attributes $A$ and $B$ are said to be positively associated if

 
 
 
 

2. A characteristic that varies in quality from one individual t0 another is called

 
 
 

3. For a $r \times c$ contingency table, the Chi-Square test has d.f.?

 
 
 
 

4. If $AB<\frac{(A)(B)}{N}$ then the association between two attributes $A$ and $B$ is

 
 
 
 

5. For a $4\times 5$ contingency table, there are

 
 
 
 

6. For a $2\times 2$ contingency table, the degrees of freedom is

 
 
 
 

7. In Chi-Square association, presence of attribute is denoted by

 
 
 
 

8. If $\chi^2=5.8$ and $d.f.=1$, we make the following decision

 
 
 
 

9. The number of parameters in Chi-Square distribution is

 
 
 
 

10. If for a contingency table $df=12$ and number of rows is 4 then the number of columns will be

 
 
 
 

11. The value of $\chi^2$-square distribution is

 
 
 
 

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

 
 
 
 

13. The parameter of Chi-Square distribution is

 
 
 
 

14. Eye color of 100 men is an example of

 
 
 

15. Association is a measure of the strength of the relationship between

 
 
 
 

16. The range of $\chi^2$ is

 
 
 
 

17. The process of dividing the objects into two mutually exclusive classes is called

 
 
 
 

18. Two attributes $A$ and $B$ are said to be independent if

 
 
 
 

Attributes are said to be independent if there is no association between them. Independence means the presence or absence of one attribute does not affect the other. The association is positive if the observed frequency of attributes is greater than the expected frequency and negative association or disassociation (negative association) is if the observed frequency is less than the expected frequency.

MCQs Chi-Square Association

Perform another Non-Parametric Test: MCQs Non-Parametric

Muhammad Imdad Ullah

Currently working as Assistant Professor of Statistics in Ghazi University, Dera Ghazi Khan. Completed my Ph.D. in Statistics from the Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan. l like Applied Statistics, Mathematics, and Statistical Computing. Statistical and Mathematical software used is SAS, STATA, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel. Like to use type-setting LaTeX for composing Articles, thesis, etc.

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