Yes, it is possible to have no mode for a set of data. What Happens if there is No Mode For a Set of Data? Now, for any given data range, let us consider 'L' is the lower limit of the modal class, 'h' is the size of the class interval, '\((f)_\), h refers to the size of the class interval. Mode for ungrouped data is found by selecting the most frequent item on the list. Mode is one of the three measures of central tendency, apart from mean and median. That means, the value or number in a data set, which has a high frequency or appears more frequently is called mode or modal value. It is defined as the value that is repeatedly occurring in a given set. In statistics, the mode formula is used to calculate the mode or modal value of a given set of data. Hence, we tend to use the Mode in such cases. In order to find the highest number of students enrolled in a course, finding any of the mean or median won't work. For instance, refer to the example given above. There are a lot of aspects wherein just finding the average (or mean) will not work. There are a lot of real-life uses and importance of using the value of mode. ![]() So overall, mode tells us about the highest frequency of any given item in the data set. Now, out of these, the course that has the highest number of registrations from the students will be counted as the mode of our given data (number of students taking each course). For example, you know that a college is offering 10 different courses for students. This value gives us a rough idea about which of the items in a data set tend to occur most frequently. The mode is one of the values of the measures of central tendency.
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