What is the ji squared asumptios?
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The Chi-square test is a statistical test used to measure the association between two categorical variables. It is a non-parametric tool that can analyze group differences when the dependent variable is measured at a nominal level . The test is robust with respect to the distribution of the data and does not require equality of variances among the study groups . It can evaluate both dichotomous independent variables and multiple group studies . The Chi-square test provides detailed information about how each group performed in the study, making it a rich source of data . After obtaining a significant Chi-square result, the Cramer's V test is commonly used as a strength test to assess the data . The Chi-square test is widely used in surveys to determine if there is dependence or association between two classification variables .
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Open access•Posted Content | The paper does not mention anything about "ji squared assumptions." |
| The Chi-square test assumes that the variables being tested are categorical and that the observations are independent. | |
| The text does not provide information about the assumptions of the Chi square test. | |
Open access 01 Jan 2014 102 Citations | The paper does not mention anything about the "ji squared assumptions." |
| The chi-square test of independence does not require equality of variances or homoscedasticity in the data. |
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