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

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What is the modal class in a grouped data if there are two classes with the same highest frequency?

They are both modal classes - the distribution is bi-modal.


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

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.


What is the measure of central tendency for nominal and ordinal data?

The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.


What if there a two modal class?

The distribution is bimodal. That is all there is to it.


How do you know the mode of a data set by looking at a bar graph?

The mode has two or more bars on the graph with the same height.

Related Questions

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

Both classes are modal classes.


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

Then the collected data is bi-modal


How do you calculate the mode when there are two modal class in a dataset?

There are two modes! that is one of the main weaknesses of the mode as a measure of central tendency.


What is the modal class in a grouped data if there are two classes with the same highest frequency?

They are both modal classes - the distribution is bi-modal.


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

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.


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 do you do you if there isn't two of the same numbers for mode in math?

Technically, every number that appear once is the mode (multiple modes). In practice however, it is best to not use the mode in this situation. If you divide the data in classes, one of the classes will be the mode of the new variable.


Is viscose and modal is different how?

ose and modal are two different fabric


What if you have two modal lengths?

They you have two modal lengths. It is quite possible to have none, one or many modes.


What is a bimodal data set?

A bi-modal data set is a data set that has two modes. In the data set 1, 2, 2, 3, 4, 4, 5 the mode is 2 AND 4. So it is a bi-modal data set. Hope that helps.


What is a modal length?

Modal length refers to the most frequently occurring value in a set of data. In statistics, it is one of the measures of central tendency, alongside the mean and median. A dataset can be unimodal (one mode), bimodal (two modes), or multimodal (multiple modes), indicating how many values appear with the highest frequency. Understanding modal length helps identify the common characteristics or trends within the data.


What is the measure of central tendency for nominal and ordinal data?

The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.