What defines an 'inclusive range' in a dataset?

The concept of an 'inclusive range' in a dataset is defined by taking the highest score and subtracting the lowest score, then adding one to the total. This method is essential because it accounts for every integer value within that range.

When you calculate the range, you typically find the difference between the highest and lowest scores, which tells you the extent of the data spread. However, if you're looking to include both the highest and lowest values as part of the possible outcomes, you must add one to the difference. For instance, if your highest score is 10 and your lowest is 1, the range would be 10 - 1 = 9, but to include both 1 and 10 in the count of possible values, it becomes 9 + 1 = 10. This adjustment ensures that all values in that interval are recognized as part of the dataset.

Other options do not effectively define the inclusive range since they either measure something other than the spread of values within the dataset or fail to account for the total range correctly. Thus, understanding the inclusive aspect is crucial for accurate data representation and interpretation.