00:01
When conducting a chi -square test, an expected value of less than 5 in any cell of the contingency table can raise concerns about the reliability of the test results.
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A chi -square test is a statistical test used to determine if there is a significant association between categorical variables.
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Here's what you should consider in steps to take if an expected value of less than 5 is obtained.
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First, or one thing, is evaluate the overall sample size.
00:36
Consider the overall sample size.
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If it's small, it might lead to low expected values.
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In such cases, increasing the sample size might help alleviate the issue.
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Combine categories.
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If it's feasible and scientifically justifiable, consider combining adjacent categories to increase the expected values in each cell.
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This should be done in a way that maintains the meaningful interpretation of the variables.
01:02
In situations where expected values are consistently low, consider using an exact test instead of the chi -square test...