Question

How can data or a graph be misleading?

A) using correct scales
B) having outliers
C) using a large sample
D) not having bias

Answer 1

Having outliers

Explanation:

Let's observe one by one

#1

• Using correct samples mean perfection at fingertips

#2

Yes it can affect because outlier may differ from original one

#3

Using a large samples will make the error 0

Answer 2

The correct answer should be
B) having outliers
Hope this helps!