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2.4 Graphical Misrepresentations of Data

Objective:By the end of this section, I will beable to…

1) Understand what can make a graph misleading, confusing, or deceptive.

1) Inappropriate Choice of Statistic

Survey: Find the number of robberies in Manhattan,

Wilmington, Philadelphia, and Phoenix.

2) Omitting a Zero on the Scale

3) Manipulating the Scales

4) Using 2D for a 1D difference

5) Careless combination of categories

6) Unclear or inaccurate labeling

7) Biased Distortion

Are they the same?• The graphs below show the number of people who rode

buses from September through February.

CREATE TWO GRAPHS

1) One regular graph

2) One misleading graph

3) Label both graphs clearly!