When the null hypothesis is accepted in an F-test, it indicates that there is no statistically significant difference between group variances or means, depending on the test design. Acceptance occurs when the test statistic is less than the critical value, meaning the observed variation is within expected limits.
Accepting the null hypothesis implies that no meaningful difference exists between the samples. If the test statistic exceeded the critical value, the null hypothesis would be rejected.
Thus, the correct results are A and D.
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