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

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Q: What are modes of distribution?
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Related questions

What is bi-modal distribution?

A distribution with two modes.


What is name of 2 modes?

A distribution with 2 modes is said to be bimodal.


Can a distribution have several modes?

yes


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.


How can the measures of center and spread of a bimodal distribution be described?

By specifying the centre and standard deviation of the distribution but also mentioning the fact that it is bimodal and identifying the modes.


How do the basic methods of distribution affect distributions?

The basic methods meant for distribution usually affect the type of advertising chosen for them. Traditional methods of distribution work well with traditional advertising modes such as flyers and word of mouth.


Is uniform distribution bimodal?

The modes of a probability density function might be defined as the (countable) set of points in the domain of the function for which the function achieves local maxima. Since the probability density function for the uniform distribution is constant by definition it has no local maxima, hence no modes. Hence, it cannot be bimodal.


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


In a perfectly symmetrical unimodal distribution is the mode and the median the same as the mean?

No, it is in general not true - for example for uniform distribution on [0,1] every number in the interval is a mode, but the mean is 1/2. The correct answer would be that a symmetric unimodal distribution has one mode equal to the mean (but may have modes elsewhere).