In statistics, relative frequency is the proportion or ratio of the number of times an event or category occurs to the total number of observations or trials.
To calculate the relative frequencies of "S" and "s," you would need the actual data or information about the occurrences of each. Without that specific information, I cannot provide the relative frequencies in decimal form or as a percentage.
However, I can explain the general process for calculating relative frequencies. Suppose you have a dataset with "n" observations, and the event or category "S" occurs "x" times, while the event or category "s" occurs "y" times.
The relative frequency of "S" can be calculated as:
Relative Frequency of S = (Number of occurrences of S / Total number of observations) = x / n
Similarly, the relative frequency of "s" can be calculated as:
Relative Frequency of s = (Number of occurrences of s / Total number of observations) = y / n
To express these relative frequencies as percentages, you can multiply them by 100:
Relative Frequency of S (as a percentage) = (Relative Frequency of S) * 100
Relative Frequency of s (as a percentage) = (Relative Frequency of s) * 100
Again, to provide the specific relative frequencies for "S" and "s," I would need the actual data or information about the occurrences of each.