What is the big advantage of some types of Chi-Square
Aldo Fernandez
Answered question
2022-04-16
Answer & Explanation
Emelia Leon
Beginner2022-04-17Added 18 answers
Chi-Square tests over a Two-Sample Test for Proportions
Chi square test is a statistical test used to compare observed data with the expected data. The purpose of the test is to determine whether the difference between observed and expected data is due to chance or it is due to relationship between the variables of the study.
The two proportion z-test is used to determine whether two population proportions are equal or not.
The big advantage of some types of Chi-Square tests are:
i) Chi square test is used for testing relationship between categorical variables.
ii) The Chi-square test are useful when two different variables are independent of each other.
iii) One of the big advantage of some types Chi-Square tests is their robustness with respect to distribution of the data.
iv) The computation are easy for chi square tests and this provide detailed information about the comparisons.
v) Chi square tests can be used for studies where parametric assumptions are not fulfilled.
vi) Chi square tests can be used to compare the proportions multiple groups whereas two-Sample Test for Proportions can only be used for two groups.
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