Graphs and statistical analysis are used a lot in the life sciences. One common example: experiments are run several times to confirm that the outcome is reproducible and because of experiment-to-experiment variability. The results may be summarized in a column graph, with error bars proportional to the standard deviation in the set of replicate experiments.

Having said that, incompetent usage of graphs and statistical analysis in scientific papers is one of the major complaints of journal editors.

Double check casts doubt on statistics in published papers

A study highlighting statistical gaffes in scientific literature has brought renewed calls for vigilance among mathematically challenged researchers and journal editors.Statistical tests are sometimes seen as a necessary evil by researchers, who fear their complexity but know that they are needed to test hypotheses.

You're clearly a dangerous pinko commie pragmatist.