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.
Yes, a symmetrical distribution can have variation. Variation refers to the spread of data points around the mean, which can be quantified using measures like variance or standard deviation. Even in a perfectly symmetrical distribution, such as a normal distribution, the data can vary widely; it simply means that the distribution of data points on either side of the mean is balanced.
No.
Symmetrical. See http://www.orbitals.com for pictures of all the orbitals
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
It is symmetrical
Certainly.
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