For him, a difference is a difference only it makes a difference. He also suggests that one must keep an eye on the probable and standard errors with measurements. Using a small group and not providing enough information on a question and not labeling the axis in the graph can mislead information. For example, average salary alone cannot give complete information and hence it is important to showcase median, mean and mode.He also says that missing little figures can question the completeness of the statistics. He says drawing average to depict statistics can give wrong inference to common people and it is essential to know the range and median for correct information reflection. The writer provided many examples of how biased examples can give way to inaccurate results. He also shows how two or three-dimensional objects can be used to change the perception of the viewer. If the bottom of a line or bar chart is truncated, the difference can seem larger than real and can prove useful to the illustrator of the project.The book suggests that the choice of the proportion of x and y-axis can change the perspective as well it is simple to do with modern software available now.
0 Comments
Leave a Reply. |