


The goodness-of-fit chi-square test can be seen as an extension of what test for a binomial distribution?
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what is chi square test formula
- What are some guidelines for interpreting chi-square results with very large sample sizes?
- What are the computational demands of exact tests compared to the chi-square test?
- How can chi-square be used to analyze data from factorial designs with categorical variables?
- Do standard non-parametric tests for ordinal data handle ties differently than how a chi-square test would implicitly treat them?
- While chi-square tests for association, how do odds ratios and relative risk quantify the strength and direction of the association?
- How does the sample size influence the power of the chi-square test to detect a true difference?
- How can chi-square be used to assess the association between categorical risk factors and the presence or absence of an outcome?
- Can chi-square be used to assess the association between different themes?
- How can the power of a chi-square test be increased?
- Are there any computational challenges or considerations when applying the chi-square test to massive datasets?
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