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Q: Is mode and modal the same?
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How do you calculate mode with two modal classes?

It is simply a distribution which has two modal classes: you cannot convert two of them into a mode.


How can you get mode if you only have two modal classes only?

Then the collected data is bi-modal


Is normal distribution bimodel?

No.  Normal distribution is uni-modal, specifically with the mean, mode, and median at the same value.


How do you calculate the mode of grouped data if there are two classes with the same highest frequency?

Both classes are modal classes.


What is the difference between mode and modal class?

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.


How do you find the mode if two numbers recur the same amount?

The distribution is bi-modal. That is to say both the numbers are modes.


What are some human attributes that would fall into a multi-modal distribution?

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.


What is mode value of 3x power 5?

There is no modal value.


What is a modal in maths?

the modal/mode in maths is like the average, getting it by adding all pieces of data and dividing on how many there are


How can you get the mode of a grouped data if there are two classes that both have the highest frequency?

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


What happens if you cant find a mode?

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.


What is the modal 3456?

A single number, such as 3456, has only one mode and that is itself.