The mode of a set of data is the most frequent value. Sometimes there is more than 1 most frequent value so there is more than one mode. For example our set is { 1,2,3,4,4,5,6,9} the mode is 4 and here is another set {1,2,3,3,4,5,6,6,7} the modes are 3 and 6 and we say the set is bimodal.
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To calculate the mode.. Add the lower limit and upper liit of the class interval with the most frequency. :)))
The mode is the numerical value of rainfall (or range of values, if dealing with grouped data) that fell on the most periods.
Both classes are modal classes.
When data is grouped and each of the intervals or categories has the same relative frequency, then no mode can be calculated. This can happen when the dataset is very limited. If all numbers in a dataset are the same, then it is impossible to calculate a mode, no matter how the data is grouped. Sometimes the level of variation is so much less than our measurement capability that we can not detect variations in variables.
If you have calculated a histogram of your data, the mode is the interval with the highest relative frequency. If you have not created a histogram, and your dataset contains finite numbers (fixed decimal numbers), with some numbers repeating, then those numbers that repeat the most would be the mode. Otherwise, if you do not group your data, where you select an interval to calculate relative frequency, then a mode is not identifiable.