Simple Frequency: The simple frequency of a score refers to the number of times that particular score appears in a dataset. For example, if the score ‘5’ appears 10 times in a set of data, the simple frequency of ‘5’ is 10.
Relative Frequency: The relative frequency of a score is the proportion of times the score occurs relative to the total number of observations in the dataset. It is calculated by dividing the simple frequency of the score by the total number of observations. For example, if the score ‘5’ appears 10 times in a dataset of 100 observations, the relative frequency of ‘5’ is 10/100 = 0.1 or 10%.
Difference: The key difference between simple frequency and relative frequency is that simple frequency counts the actual number of occurrences of a score, while relative frequency expresses this count as a proportion or percentage of the total dataset.