MAD and Shapes of Distribution

Front

What is Mean Absolute Deviation (MAD)?

Back

Mean Absolute Deviation (MAD) is a measure of the average distance between each data point in a set and the mean of that set.

Front

What does a skewed left distribution look like?

Back

A skewed left distribution has a longer tail on the left side, meaning most data points are concentrated on the right.

Front

What does a skewed right distribution look like?

Back

A skewed right distribution has a longer tail on the right side, meaning most data points are concentrated on 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.

Front

How do you calculate the Mean Absolute Deviation?

Back

To calculate MAD, find the mean of the data set, subtract the mean from each data point, take the absolute values of those differences, and then find the average of those absolute values.

Front

What is the first step in finding the Mean Absolute Deviation?

Back

The first step is to find the mean of the given data set.

Front

If the Mean Absolute Deviation is 8.5, what does this indicate?

Back

An MAD of 8.5 indicates a greater variability or spread in the data set compared to a lower MAD.

Front

What is the significance of a higher Mean Absolute Deviation?

Back

A higher MAD indicates that the data points are more spread out from the mean, showing greater variability.

Front

What is the last step in calculating the Mean Absolute Deviation?

Back

The last step is to find the mean of the new set of absolute differences.

Front

What does it mean if a distribution is uniform?

Back

A uniform distribution means that all outcomes are equally likely, and the data points are evenly spread across the range.