Your distribution is unimodal and symmetrical.
It may be or may not be; however a normal distribution is unimodal.
No, the normal distribution is strictly unimodal.
Skewness is a measure of symmetry, or more precisely, the lack of symmetry. A distribution, or data set, is symmetric if it looks the same to the left and right of the center point.The Shape of a HistogramA histogram is unimodal if there is one hump, bimodal if there are two humps and multimodal if there are many humps. A nonsymmetric histogram is called skewed if it is not symmetric. If the upper tail is longer than the lower tail then it is positively skewed. If the upper tail is shorter than it is negatively skewed.Unimodal, Symmetric, NonskewedNonsymmetric, Skewed RightBimodal
Do you mean ''What does the AUM Mantra mean?''
No they are not the same in a unimodal symmetrical distribution and they will never be
The median and mode.
Your distribution is unimodal and symmetrical.
It may be or may not be; however a normal distribution is unimodal.
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).
Unimodal is having a normal disturbution. The mean, median, and mode are all a the center. When looking at a graph, there is one maximum.
Yes it is.
If the distribution is not symmetric, the mean will be different from the median. A negatively skewed distribution will have a mean hat is smaller than the median, provided it is unimodal.
unimodal in movement of materials or products only one transportation system is used whereas multimodal transportation two and above transportation mode involve
A unimodal learning environment is one that primarily relies on one mode of instruction or communication, such as only using auditory or visual input. This type of environment may not cater to diverse learning styles and preferences.
Bell-shaped, unimodal, symmetric
No. Normal distribution is a special case of distribution.