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I have the following 2X2 contingency table with observed counts to perform Chi-square test. But i've read about Chi-square test restriction:

"If any expected counts are less than 5, then some other test should be used (e.g., Fisher exact test for 2x2 contingency tables)"

I'm confused, since in my case the contingency table contains observed count not the expected ones. Is that restriction related to observed counts as well? Contigency table

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I cannot see your table, there is seemingly some problem with your image. Even though the table shows the observed number of cases, nothing prevents you from computing the expected number under the null distribution (likely, independence or homogeneity). Then you can check if the condition is fulfilled.

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  • $\begingroup$ Thanks for your response! The table has attached now. $\endgroup$
    – Denis
    Apr 19, 2020 at 20:12
  • $\begingroup$ I'm wondering, if there is any straightforward way (may be a special function in R) to count expected counts? $\endgroup$
    – Denis
    Apr 20, 2020 at 21:11
  • $\begingroup$ I thought, the common approach is just applying the same restriction to the observed frequencies. Am i right? $\endgroup$
    – Denis
    Apr 20, 2020 at 21:15
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    $\begingroup$ You can use for instance result <- loglin(table, margin=c(1,2), fit=TRUE). In the component result$fit you will find the expected counts. $\endgroup$
    – F. Tusell
    Apr 21, 2020 at 9:55

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