MCQs Chi Square Test – 1

This post is about Online MCQs on the Chi Square Test. The following is the MCQs Chi Square Test Association Test

MCQs about Association between the attributes.

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


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


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


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


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


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


7. Eye color of 100 men is an example of


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


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


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


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


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


13. The parameter of Chi-Square distribution is


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


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


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


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


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


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.

Perform another Non-Parametric Test: MCQs Non-Parametric

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2 thoughts on “MCQs Chi Square Test – 1”

  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.

    1. 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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