Chi-square

Chi-square test unequal sample size r

Chi-square test unequal sample size r
  1. Can you do chi-square with unequal sample sizes?
  2. Does chi-square need equal groups?
  3. Does chi-square increase with sample size?
  4. Can you do a chi-square test in R?

Can you do chi-square with unequal sample sizes?

And luckily, unequal sample sizes do not affect the ability to calculate that chi-square test statistic. It's pretty rare to have equal sample sizes, in fact. The expected values take the sample sizes into account. So no problems at all here.

Does chi-square need equal groups?

Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data. Specifically, it does not require equality of variances among the study groups or homoscedasticity in the data. It permits evaluation of both dichotomous independent variables, and of multiple group studies.

Does chi-square increase with sample size?

In terms of the actual test, the null distribution (the chi-squared distribution with # of cells - 1 degrees of freedom) remains fixed across any sample size, but the chi-squared test statistic will grow with the sample size.

Can you do a chi-square test in R?

In R, the function used for performing a chi-square test is chisq. test() . Parameters: data: data is a table containing count values of the variables in the table.

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