Final answer:
Different types of distributions exist in statistics, including asymmetric, bimodal, unimodal, symmetric, non-skewed, and normal. Asymmetric distributions can be positively or negatively skewed. Bimodal distributions have two distinct peaks, while unimodal distributions have a single peak. Symmetric distributions are perfectly balanced, and non-skewed distributions are not pulled towards any side. A normal distribution, also known as a bell curve, is the most common type.
Step-by-step explanation:
A distribution in statistics refers to the shape that data takes when graphed. There are several types of distributions, including asymmetric, positively skewed, bimodal, negatively skewed, unimodal, symmetric, non-skewed, and normal distributions.
An asymmetric distribution is one where the shape of the data is not symmetrical. It can be either positively skewed (long tail to the right) or negatively skewed (long tail to the left).
A bimodal distribution has two distinct peaks or modes. It is not symmetrical.
An unimodal distribution has only one peak or mode. It can be either symmetric or asymmetric.
A symmetric distribution is one where the shape of the data is perfectly symmetrical, meaning it can be folded along a line of symmetry and the left and right sides would match.
A non-skewed distribution refers to a distribution where the data is not pulled to one side or the other, resulting in a symmetrical shape.
A normal distribution, also known as a bell curve, is a specific type of symmetric and unimodal distribution that is commonly seen in various disciplines. It has a characteristic bell-shaped curve when graphed.