Shapes of distributions - Graphing Data

Shapes of distributions


There are two main types of Distribution we are concerned with in statistics:

Frequency Distributions:
A graph representing the frequency of each outcome occurring.

Probability Distributions:
A graph that provides the probability of each outcome occurring.

The most common distribution shapes are:

Symmetric, distribution shape

Bell-shaped, distribution shape

Skewed to the left:
Skewed to the left, distribution shape

Skewed to the right:
Skewed to the right, distribution shape

Uniform, distribution shape


On a graph a cluster is when several data points lie close together. Typically this means that these data points have similar characteristics, which is also called things are homogeneous (Things which are very diverse or dissimilar are called heterogeneous)


A gap is an interval which contains no data.


A peak is the highest point of a data set.
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Shapes of distributions

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