If you have a set of individual observations, the mode is the observation that occurs the most often.
However, with very large sets, you may wish to group the data into classes. In that case, the class with the largest frequency is the modal class.
The modal class need not contain the mode. Also, the modal class depends on how the classes are defined.
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It is quite possible for there to be no mode. A sample from a continuous distribution may have a modal class but is very unlikely to have a mode.
There are two modes! that is one of the main weaknesses of the mode as a measure of central tendency.
There is no modal value.
The mode is the only one of these measure which can be used with qualitative data: the mean or median are impossible to compute. Also, for a data set consisting of a relatively small number of observations of a discrete variable the mode or modal class is the easiest to find.
A single number, such as 3456, has only one mode and that is itself.
Well, honey, if you've got two classes strutting their stuff with the same high frequency in your grouped data, then guess what? You've got yourself a bimodal distribution, sweetie! That means you've got not one, but two modes to deal with - so just go ahead and flaunt those two modes proudly, darling.
It is quite possible for there to be no mode. A sample from a continuous distribution may have a modal class but is very unlikely to have a mode.
There are two modes! that is one of the main weaknesses of the mode as a measure of central tendency.
It is simply a distribution which has two modal classes: you cannot convert two of them into a mode.
The Mode: The mode is defined as the most frequently observed value. For grouped data, the mode is the most commonly observed category, and for ungrouped data, the mode is the value which occurs most frequently. For a grouped frequency distribution, the mode is given by Mo = l1 + ((f1 - f0)/(2f1 - f0 - f2))*(l2 - l1) where: l1 - l2= the modal class f1= frequency of the modal class f2= Frequency of the class following the modal class f0= Frequency of the class following the modal class Using the same example for computation of the mode, the modal class is identified as the mean of the category and is used for the responses in the computation of the mode. CumulativeX Freq Frequency (Less Than)---------------------------------------------Age 11-13 10 10Group 14-16 17 2717-19 23 50
Then the collected data is bi-modal
unimodal in movement of materials or products only one transportation system is used whereas multimodal transportation two and above transportation mode involve
It is often claimed that height is bi-modal because there will be one modal height for men and one for women. But unless there are exactly the same number of men and of women in the modal class, both cannot be modes. Consequently, this attribute really has only one mode. The same applies to other characteristics.
There is no modal value.
the modal/mode in maths is like the average, getting it by adding all pieces of data and dividing on how many there are
The mode is the only one of these measure which can be used with qualitative data: the mean or median are impossible to compute. Also, for a data set consisting of a relatively small number of observations of a discrete variable the mode or modal class is the easiest to find.
A single number, such as 3456, has only one mode and that is itself.