In what way(s) can a poorly done histogram be misleading?
A)Changes in labeling on one or more axes.
B)Not starting at zero as a way to exaggerate trends.
C)Using poor information.
D)All of the above.

Question

Quizplus · Accepted Answer

All of the above can make a poorly done histogram misleading. Changes in labeling on one or more axes, such as changing the scale or not providing clear units, can distort the data. Not starting at zero can exaggerate or downplay trends. Using poor information, such as incomplete or inaccurate data, can lead to incorrect conclusions. Together, these factors can make a histogram misleading and inaccurate.

In What Way(s) Can a Poorly Done Histogram Be Misleading