Understanding Mean and Variability

They all scored the same on the last day.

They all have the same number of attempts.

They all have the same average performance over time.

They all performed equally well every day.

Variability shows how consistent the data is.

Variability is only important for large data sets.

Variability determines the total number of data points.

Variability indicates the highest score achieved.

The data points are close to the mean.

The data has high variability.

The data points are widely scattered.

The data has a high mean value.

All players were equally consistent

Elena

Jada

Lynn

The data set has a higher mean.

The data set is more consistent.

The data set has less variability.

The data set has more variability.

By subtracting the smallest value from the largest value.

By adding all data points and dividing by the number of points.

By averaging the distances of each data point from the mean.

By finding the difference between the highest and lowest values.

All travel times are within 4.2 minutes of each other.

The mean travel time is 4.2 minutes.

Travel times vary by about 4.2 minutes from the mean.

Most travel times are exactly 4.2 minutes.

The archer's shots vary by more than 1.3 inches.

The archer's shots are generally close to the target.

The archer's shots are very inconsistent.

The archer's shots are all exactly 1.6 inches from the target.

It means the data set is larger.

It suggests the data points are more spread out.

It shows less variability in the data.

It indicates a higher mean.

To calculate the total number of data points.

To understand the role of mean and MAD in data analysis.

To find the highest and lowest values in a data set.

To determine the exact mean of any data set.