Learn

Statistical Distributions with NumPy

Different Types of Distribution, Part II

Most of the datasets that we’ll be dealing with will be unimodal (one peak). We can further classify unimodal distributions by describing where most of the numbers are relative to the peak.

A *symmetric* dataset has equal amounts of data on both sides of the peak. Both sides should look about the same.

A *skew-right* dataset has a long tail on the right of the peak, but most of the data is on the left.

A *skew-left* dataset has a long tail on the left of the peak, but most of the data is on the right.

The type of distribution affects the position of the mean and median. In heavily skewed distributions, the mean becomes a less useful measurement.

SYMMETRIC

SKEW-RIGHT

SKEW-LEFT

Determine the distribution shape of **Graph A** and save your answer (as a string) to the variable `graph_a`

.

Determine the distribution shape of **Graph B** and save your answer (as a string) to the variable `graph_b`

.

Determine the distribution shape of **Graph C** and save your answer (as a string) to the variable `graph_c`

.