# Important MCQs Chi Square Test – 2

This post is about Online MCQs on the Chi Square Test. The MCQs Chi Square test covers the topic of attributes, degrees of freedom, coefficient of association, Chi-Square Distribution, observed and expected frequencies of attributes, etc. Let us start with the MCQs Chi Square Test of Association.

MCQs about Association between the attributes.

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

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

3. The number of parameters in the Chi-Square distribution is

4. The parameter of Chi-Square distribution is

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

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

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

8. In Chi-Square association, the presence of an attribute is denoted by

9. The Chi-Square test for a $2\times 2$ contingency table is not valid unless

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

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

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

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

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

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

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

17. The eye color of 100 men is an example of

18. When Chi-Square ($\chi^2=0$), the attributes are

19. A characteristic that varies in quality from one individual to another is called

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

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

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 Test

• A characteristic that varies in quality from one individual to another is called
• The eye color of 100 men is an example of
• Association is a measure of the strength of the relationship between
• In Chi-Square association, the presence of an attribute is denoted by
• The process of dividing the objects into two mutually exclusive classes is called
• The number of parameters in the Chi-Square distribution is
• The parameter of the Chi-Square distribution is
• The value of $\chi^2$-square distribution cannot be
• The range of $\chi^2$ is
• Two attributes $A$ and $B$ are said to be independent if
• Two attributes $A$ and $B$ are said to be positively associated if
• If $AB<\frac{(A)(B)}{N}$ then the association between two attributes $A$ and $B$ is
• If $\chi^2=5.8$ and $d.f.=1$, we make the following decision
• For a $4\times 5$ contingency table, there are
• For a $r \times c$ contingency table, the Chi-Square test has d.f.?
• If for a contingency table, $df=12$ and the number of rows is 4 then the number of columns will be
• For a $3\times 3$ contingency table, the degrees of freedom is
• For a $2\times 2$ contingency table, the degrees of freedom is
• When Chi-Square ($\chi^2=0$), the attributes are
• The Chi-Square test for a $2\times 2$ contingency table is not valid unless

Perform another Non-Parametric Test: MCQs Non-Parametric

### 2 thoughts on “Important MCQs Chi Square Test – 2”

1. 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.