Which description matches a joint relative frequency?

Which description matches a joint relative frequency?

• A. The ratio of a row total to a column total
• B. The ratio of a cell's frequency to the overall total data values
• C. The sum of all joint frequencies
• D. The difference between row and column totals

Answer: (B)

Joint relative frequency measures the proportion of the entire dataset that sits in a specific cell of a two-way table, showing the probability of that exact combination of categories. The description that fits this is the ratio of a cell's frequency to the overall total data values, since it uses the full dataset as the denominator. For example, if there are 60 total observations and the top-left cell has 12, its joint relative frequency is 12/60 = 0.20. The sum of all joint relative frequencies across all cells equals 1. This differs from row or column proportions, which look at parts of the data within a single row or column rather than the whole dataset.

Joint relative frequency measures the proportion of the entire dataset that sits in a specific cell of a two-way table, showing the probability of that exact combination of categories. The description that fits this is the ratio of a cell's frequency to the overall total data values, since it uses the full dataset as the denominator. For example, if there are 60 total observations and the top-left cell has 12, its joint relative frequency is 12/60 = 0.20. The sum of all joint relative frequencies across all cells equals 1. This differs from row or column proportions, which look at parts of the data within a single row or column rather than the whole dataset.