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.
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