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If no number appears more than once, then the data set has no mode. So, just following “official” definitions, the multimodal answer seems right. “No mode” means no repetition.
In some cases (such as when all values appear the same number of times) the mode is not useful. But we can group the values to see if one group has more than the others. Example: {4, 7, 11, 16, 20, 22, 25, 26, 33}
The mode of a data set is the number that occurs most often, but what if your data set has more than one mode? Is that possible? This tutorial explains what to do when a data set has multiple modes!
To find the mode, follow these two steps: If the data for your variable takes the form of numerical values, order the values from low to high. If it takes the form of categories or groupings, sort the values by group, in any order. Identify the value or values that occur most frequently.
To find the mode, write out all numbers in the data set, ordering them from lowest to highest. Then, go through and count the number of times that each value appears. The number that occurs most often is the mode. Keep in mind that, sometimes, there can be more than one mode.
To find the mode, follow these two steps: If your data takes the form of numerical values, order the values from low to high. If it takes the form of categories or groupings, sort the values by group, in any order. Identify the value or values that occur most frequently.
A set of data may have one mode or may be multimodal, meaning it has more than one mode. A data set with two modes is called bimodal and a data set with three modes is called trimodal. A data set may also have no mode. For example, find the mode: The most frequently occurring item is ‘9’ ‘9’, so 9 9 is the mode. For example, find the mode: