The “classic” types of misleading graphs include cases where: The Vertical scale is too big or too small, or skips numbers, or doesn't start at zero. The graph isn't labeled properly. Data is left out.
What are 5 ways a graph can be misleading?
There are numerous ways in which a misleading graph may be constructed.
- Excessive usage.
- Biased labeling.
- Pie chart.
- Improper scaling.
- Truncated graph.
- Axis changes.
- No scale.
- Improper intervals or units.
How can statistics sometimes be misleading?
The data can be misleading due to the sampling method used to obtain data. For instance, the size and the type of sample used in any statistics play a significant role — many polls and questionnaires target certain audiences that provide specific answers, resulting in small and biased sample sizes.
