Understanding the Impact of Outliers on Data Analysis

The video tutorial explores how outliers affect data shape, center, and spread, using students' summer reading data as an example. It explains the impact of skewness on mean, median, and mode, and how outliers can change data visualization in graphs. The tutorial emphasizes the importance of interpreting outliers rather than dismissing them, and provides insights into how data trends shift with the presence of outliers.

What changes occur in the shape, center, and spread of a graph when outliers are present?

What trends can be observed regarding the shape of data when outliers are present both above and below the center?

How does the interquartile range respond to outliers compared to standard deviation?