Which of the following refers to the most frequently occurring score in a dataset?

The mode is the term used to describe the most frequently occurring score or value in a dataset. When analyzing data, the mode provides insight into the value that appears the most often, which can be particularly useful in identifying trends or common characteristics within the data.

In contrast, the median represents the middle score when all values in a dataset are arranged in order, and it is particularly useful for understanding the central tendency in skewed distributions. The mean, on the other hand, is the average of all scores, calculated by summing the values and dividing by the number of scores; it can be influenced by extreme values. Lastly, variance measures the degree of spread or dispersion of scores around the mean, indicating how much the scores differ from one another.

Understanding these distinctions clarifies why mode is the suitable choice for representing the most frequently occurring score in a dataset.