One of the problems we face when we try to draw conclusions from data is that we have to deal with
A) means.
B) error variance.
C) population size.
D) hypotheses.

Question

Quizplus · Accepted Answer

Error variance is a common problem when drawing conclusions from data because it represents the variability in the data that cannot be explained by the independent variable or other factors in the study. This can lead to inaccurate conclusions if not properly accounted for in the analysis. While means, population size, and hypotheses are also important considerations in data analysis, they do not represent as common of a problem as error variance.

One of the Problems We Face When We Try to Draw