Distribution Shapes

Front

What is a distribution shape?

Back

A distribution shape refers to the way data points are spread out or arranged in a dataset, which can reveal patterns and characteristics of the data.

Front

What does 'Skewed Right' mean?

Back

A distribution is skewed right when the tail on the right side is longer or fatter than the left side, indicating that there are a few high values pulling the mean to the right.

Front

What does 'Skewed Left' mean?

Back

A distribution is skewed left when the tail on the left side is longer or fatter than the right side, indicating that there are a few low values pulling the mean to the left.

Front

What is a Symmetrical distribution?

Back

A symmetrical distribution is one where the left and right sides of the distribution are mirror images of each other, meaning the mean, median, and mode are all equal.

Front

What is a Bimodal distribution?

Back

A bimodal distribution has two different modes or peaks, indicating that there are two prevalent values in the dataset.

Front

What is a Uniform distribution?

Back

A uniform distribution is one where all outcomes are equally likely, resulting in a flat shape when graphed.

Front

How can you identify a Skewed Right distribution?

Back

A Skewed Right distribution can be identified by a longer tail on the right side and a concentration of data points on the left.

Front

How can you identify a Skewed Left distribution?

Back

A Skewed Left distribution can be identified by a longer tail on the left side and a concentration of data points on the right.

Front

What is the relationship between mean and median in a Skewed Right distribution?

Back

In a Skewed Right distribution, the mean is typically greater than the median.

Front

What is the relationship between mean and median in a Skewed Left distribution?

Back

In a Skewed Left distribution, the mean is typically less than the median.