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In a (m×n) bivariate distribution table,some of the cell frequency may be A) zero B) negative C)both A) and B) above D)None of the above?
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In a (m×n) bivariate distribution table,some of the cell frequency may...
Explanation:

Zero Frequency:
In a bivariate distribution table, it is possible to have cell frequencies that are zero. This occurs when there are no observations falling into a particular category or combination of categories. For example, if we are looking at the distribution of students based on both gender and academic performance, it is possible that there are no female students who scored below a certain threshold. In this case, the cell corresponding to the intersection of "female" and "below threshold" would have a frequency of zero.

Negative Frequency:
Negative frequencies in a bivariate distribution table do not make sense and are not possible. Frequencies represent the count of observations falling into a particular category or combination of categories, and it is not feasible to have a negative count of observations. Therefore, negative frequencies are not a valid possibility in this context.

Conclusion:
In summary, in a (m×n) bivariate distribution table, cell frequencies may be zero but cannot be negative. Zero frequencies indicate that there are no observations in that particular category, while negative frequencies are not meaningful in the context of observational data.
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In a (m×n) bivariate distribution table,some of the cell frequency may be A) zero B) negative C)both A) and B) above D)None of the above?
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