MCQs Chi-Square Association

This post is about MCQs on the 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. The process of dividing the objects into two mutually exclusive classes is called

 
 
 
 

2. The value of $\chi^2$-square distribution cannot be

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

6. The parameter of Chi-Square distribution is

 
 
 
 

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

 
 
 
 

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

 
 
 

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

 
 
 
 

10. Eye color of 100 men is an example of

 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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, Python, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel. Like to use type-setting LaTeX for composing Articles, thesis, etc.

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2 Responses

  1. kiran says:

    answers are wrong , The chi-square distribution starts at zero because it describes the sum of squared random variables, and a squared number can’t be negative but your mcq number 16 wrong my answer with wrong key.

    • Thank you for contacting us and helping to correct the question. It was difficult to identify the mentioned question as all the questions loaded randomly and even their options are also random. However, after careful investigation, I identified the question with the wrong marking. Finally, the correction is made.
      In case if you find any error in any of the MCQ(s) please send a screenshot of the question or write about atleast the statement of the MCQs.

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