Introduction:
A bivariate frequency table is used to display the frequency distribution of two variables in a tabular form. It is an essential tool in statistical analysis, especially in correlation and regression studies. In this type of table, the variables are classified into two categories, and the frequency of each cell is recorded.

Total Number of Cells:
The total number of cells in a bivariate frequency table is determined by the number of categories of each variable. If variable P has p categories and variable Q has q categories, the total number of cells in the table is equal to p x q. For example, if variable P has three categories and variable Q has four categories, the total number of cells in the table is 3 x 4 = 12.

Significance:
The total number of cells in a bivariate frequency table is significant because it determines the level of detail in the analysis. The more cells in the table, the more detailed the analysis will be. However, if there are too many cells, it may be challenging to interpret the results.

Conclusion:
In conclusion, the total number of cells in a bivariate frequency table is determined by the number of categories of each variable. It is an important factor in determining the level of detail in the analysis, and it is essential to strike a balance between the number of cells and the interpretability of the results.