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What is bi-modal distribution?

A distribution with two modes.


What do you do when you have two modes in maths?

Nothing. You simply have a distribution that is bimodal. You report both modes.


What is a bimodality?

A bimodality is a bimodal condition - a distribution which has two modes.


What Do You Call A Data Set With Two Modes?

A bimodal distribution.


What is name of 2 modes?

A distribution with 2 modes is said to be bimodal.


Can a distribution have several modes?

yes


What are modes of distribution?

The data values with the highest frequency, gives the peak of the distribution graph.


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.


Is considerably skewed distribution the same as bimodal distribution?

No. A distribution may be non-skewed and bimodal or skewed and bimodal. Bimodal means that the distribution has two modes, or two local maxima on the curve. Visually, one can see two peaks on the distribution curve. Mixture problems (combination of two random variables with different modes) can produce bimodal curves. See: http://en.wikipedia.org/wiki/Bimodal_distribution A distribution is skewed when the mean and median are different values. A distribution is negatively skewed when the mean is less than the median and positively skewed if the mean is greater than the median. See: http://en.wikipedia.org/wiki/Skewness


What if there is two modes?

Write both modes


What happens if you have two modes?

you add the modes that you have found together and then divide that by two


What is the name of the graph with two humps?

The graph with two humps is typically referred to as a "bimodal distribution." This type of distribution has two distinct peaks (modes) in its frequency distribution, indicating that the data set contains two different groups or clusters. Bimodal distributions are often seen in various fields, such as statistics, biology, and social sciences, where two underlying processes may contribute to the observed data.