![]() We can take the mid value of the category to estimate the mode at 49. The category with the most values is 48-50 with 3 values. Then work out how many of the values fall into each category, how many times a number between 30 and 32 occurs, etc. These numbers are all unique (each only occurs once), there is no mode. For example from a set of data showing the speed of passing cars we see that out of 10 cars the recorded speeds are: It is usually perfectly acceptable to say there is no mode, but if a mode has to be found then the usual way is to create number ranges and then count the one with the most points in it. If a data set contains only unique numbers then calculating the mode is more problematic. Data sets with more than two modes are referred to as multi-modal data sets. Some data sets may have more than one Mode:ġ,3,3,4,4,5 – for example, has two most frequently occurring numbers (3
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