Histogram variable combining both treatment and control group I am doing an assignment for a Biostatistics course. We are asked very simple questions but there is one that seems strange to me. We have to plot the histogram of the blood pressure before and after a treatment. In the data-set we have both the treatment and the control group.
The question simply asks us the plot it, but does it make sense to include both the groups in the same histogram? How can we compare the "before" and "after" histogram this way?
 A: It does make sense.  Perhaps the blood pressure changes not because of treatment but because of something else (such as light, temperature, time since last meal, physical activity...).  If this is the case, you should see a similar effect for both groups.  If this is not the case, and treatment has an effect, you should only see the before-after difference for the treatment group while for the other group the histograms are broadly overlapping.
This is essentially differences-in-differences (DiD, double-dif) estimator, just presented in an informal and graphical way.
In case you are wondering how to create such a graph in a nice way, I would recommend you to ask another question (on StackOverflow) where you also mention which software do you use.
A: You can overlay histograms, or plot them back-to-back or one immediately under the other. So for example, if you overlay before and after for control and then do the same for treatment immediately under it, that would be one way.

(You say in comments you're not asked to do 4 histograms, but in fact the way you phrase your question it seems like that is what you're asking.)
Personally, I'd be tempted to look at one histogram of after minus before for control and one for treatment but that doesn't sound like what you were asked for.
