You should be able to
state feature of the statistical representation which could be misleading
explain why the feature could lead to misinterpretation
Read and try to understand Textbook 1B explanations and worked examples: pg 218 to 219.
Look at the following to spot misleading graphs:
Labels, numbers, scales and context of the data
Example: Distortion of scales
y-axis: Scale not staring from zero
x-axis: The difference in intervals
Different sized icons - Watch 2:25 to 3:16
Unequal intervals on axes - Watch 3:17 to 4:01
Broken or "squished" y-axis - Watch 4:02 to 4:55
Misleading scale aces (Bar Graphs): Watch 2:48 to 5:24
Misleading area of volume (Picture): Watch 5:25 to 8:39
Misleading scale axes (Line Graphs): Watch 8:40 to 10:32