It can have multiple peaks, but most symmetrical distributions do not.
Yes. The distribution can be compact (centred tightly around the mean) or spread out. It can have a peak in the centre or two peaks at each end, or other variations.
When a distribution curve has three or more peaks, it is referred to as a "multimodal" distribution. Each peak, or mode, represents a local maximum in the frequency of the data points. This type of distribution can indicate the presence of multiple underlying processes or groups within the dataset.
No.
Symmetrical. See http://www.orbitals.com for pictures of all the orbitals
When describing the shape of a distribution, you should look for its symmetry or skewness (whether it is symmetrical, positively skewed, or negatively skewed), the presence of peaks (unimodal, bimodal, or multimodal), and the overall spread or variability of the data. Additionally, consider the presence of outliers, as they can significantly affect the distribution's appearance. Visual representations, such as histograms or box plots, can also aid in understanding the shape of the distribution.
Yes. The distribution can be compact (centred tightly around the mean) or spread out. It can have a peak in the centre or two peaks at each end, or other variations.
example of symmetrical distribution
for symmetrical distributions your mean equals the median. that is one of the properties of the symmetrical distribution.
When a distribution curve has three or more peaks, it is referred to as a "multimodal" distribution. Each peak, or mode, represents a local maximum in the frequency of the data points. This type of distribution can indicate the presence of multiple underlying processes or groups within the dataset.
Histograms can display various shapes of distribution, including normal (bell-shaped), skewed (either left or right), uniform (flat), bimodal (two peaks), and multimodal (multiple peaks). A normal distribution has a symmetrical shape, while skewed distributions have tails that extend more on one side. Uniform distributions show equal frequency across all intervals, and bimodal or multimodal distributions indicate the presence of multiple underlying processes or groups within the data. Each shape can provide insights into the characteristics and behavior of the dataset being analyzed.
No they are not the same in a unimodal symmetrical distribution and they will never be
No. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
symmetrical
Certainly.
It is symmetrical
Normal distribution is a perfectly symmetrical bell-shaped normal distribution. The bell curve is used to find the median, mean and mode of a function.
symmetrical :)i do believe!hope this helps!Pixiex