A distribution with two modes.
Nothing. You simply have a distribution that is bimodal. You report both modes.
A bimodal distribution.
The distribution is bi-modal. That is to say both the numbers are modes.
You find the number in between the two modes. It could be a decimal.
A distribution with two modes.
Nothing. You simply have a distribution that is bimodal. You report both modes.
A bimodality is a bimodal condition - a distribution which has two modes.
A bimodal distribution.
A distribution with 2 modes is said to be bimodal.
yes
The data values with the highest frequency, gives the peak of the distribution graph.
The distribution is bi-modal. That is to say both the numbers are modes.
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
Write both modes
you add the modes that you have found together and then divide that by two
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.