Unit 1 Lesson 14 Outliers

Front

What is an outlier in a data set?

Back

An outlier is a data point that differs significantly from other observations in a data set, often due to variability in the measurement or it may indicate a measurement error.

Front

How does adding a large number (e.g., 40) to a data set affect the mean?

Back

It increases the mean because the total sum of the data increases significantly.

Front

How does adding a small number (e.g., 1) to a data set affect the mean?

Back

It decreases the mean if the added number is lower than the current mean.

Front

What is variability in a data set?

Back

Variability refers to how spread out or dispersed the values in a data set are.

Front

How does adding a number that is much larger than the current data points affect variability?

Back

It may not significantly affect variability if the new number is an outlier.

Front

How does adding a number that is much smaller than the current data points affect variability?

Back

It can increase variability as it introduces a new extreme value.

Front

What happens to the variability when a number equal to the mean is added to the data set?

Back

It stays the same because it does not change the spread of the data.

Front

If a data set has a high variability, what does that indicate?

Back

It indicates that the data points are spread out over a wider range of values.

Front

If a data set has a low variability, what does that indicate?

Back

It indicates that the data points are clustered closely around the mean.

Front

What is the effect of adding multiple outliers to a data set?

Back

It can skew the mean and increase the variability significantly.