There are two modes! that is one of the main weaknesses of the mode as a measure of central tendency.
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.
Both classes are modal classes.
The answer depends on the type of distribution for the data. It could be the modal class.
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.
If there are more than one class intervals which have the same frequency (equally qualifying to be the mode class) then both of the classes will be the mode class. this is called bimodal. However to calculate the mode of grouped data use the following formula Mode = L + [ (F - F1) / { (F - F1) + (F - F2) } ] * h where L = Lower limit of the modal class F = Frequency of the modal class F1 = Frequency of the class immediately previous of modal class F2 = Frequency of the class immediate next of modal class h = Range of the modal class (higher limit - lower limit) this is what i found out after reading books and understanding them. Please correct me if i am wrong. Thanks, Salman Ahmad
When observations are grouped into class intervals, the interval that contains the most frequently occurring value is known as the modal class.
The class that has the highest frequency (number)
They are both modal classes - the distribution is bi-modal.
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.
The modal height is the value of height which has the largest number of observations. The modal class height is the height for which the class has the greatest number. An example: Heights: 161, 163, 163, 171, 172, 173, 174 Modal height: 163 (2 observations, all others are unique). If the classes are 161-170, 171-180 then modal class height = 171-180 with 4 observations.
It is the class interval with most number of observations.
madalas mga bobo yung mga nagsasagot d2.
It is simply a distribution which has two modal classes: you cannot convert two of them into a mode.
The distribution is bimodal. That is all there is to it.
Nothing is different they are the same thing