###### Univariate vs. Multivariate Distributi ...

Univariate and multivariate normal distributions are very robust and useful in most statistical... **Read More**

A unimodal distribution is a distribution that has one clear peak. The values increase first, rising to a single highest point where they then start to decrease. A unimodal distribution can either be symmetrical or nonsymmetrical.

A symmetrical distribution is one where the mean, mode, and median are all equal. In such a distribution, the intervals of gains or losses exhibit the same frequency. For instance, if we have a symmetrical distribution with a mean return of zero, then the frequency of losses between -2% and -1% will be equal to the frequency of gains between 1% and 2%.

A distribution that deviates from the symmetrical distribution is said to be **nonsymmetrical, **and that’s how we end up having positive skewness and negative skewness.

This is the tendency of a given frequency curve leaning towards the **left. Conversely, the** ‘tail’ extends to the right. In this distribution, candidates should note the following:

- The mean is bigger than both the median and the mean.
- The median always occurs between the mode and the mean.
- The observations below the mean are more than those above it.

A good example of a positively skewed distribution would be the age distribution in a **developing** country.

This is a frequency curve where the long tail extends to the **left. **It has the following characteristics:

- The mode is usually bigger than both the median and the mean.
- The median is found between the mean and the mode.
- The observations above the mean are usually more than those below it.

A good example of a negatively skewed distribution would be the age distribution in a **developed** country.