# 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.

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

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.