Question

opal is collecting data on water levels in different parts of town. she notices that her sample data has a low - value outlier. which statement must be true? removing the outlier will not change the spread of the graph of the data set removing the outlier will not change the variance of the data set removing the outlier will increase the variance of the data set removing the outlier will decrease the spread of the graph of the data set

Explanation:

Step1: Understand outlier effect

An outlier is a data - point that is far from other data points.

Step2: Analyze spread and variance

Low - value outlier increases spread and variance. Removing it makes data more clustered, reducing spread and variance. So, removing the outlier will decrease the spread of the graph of the data set.

Answer:

Removing the outlier will decrease the spread of the graph of the data set.