{"id":214031,"date":"2024-10-10T00:10:59","date_gmt":"2024-10-10T00:10:59","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/how-do-you-get-the-expected-value-in-chi-square\/"},"modified":"2024-10-10T00:10:59","modified_gmt":"2024-10-10T00:10:59","slug":"how-do-you-get-the-expected-value-in-chi-square","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-do-you-get-the-expected-value-in-chi-square\/","title":{"rendered":"How do you get the expected value in chi-square?"},"content":{"rendered":"

**How do you get the expected value in chi-square?**<\/p>\n

When conducting a chi-square test, the expected value can be calculated using a simple formula: expected value = (row total * column total) \/ sample size. This formula allows us to determine the values we would expect to find in each cell of a contingency table if there was no association between the variables being tested.<\/p>\n

Calculating the expected value in a chi-square test is essential for making comparisons between the observed and expected frequencies. By comparing these values, we can determine whether there is a significant association between the variables or if any observed differences are merely due to chance.<\/p>\n

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