Dear Statalisters

I run following regression for panel data of children: PPVT being a test score, a treatment they get and sex being =1 of male and =2 if female.

Code:
xtreg PPVT treatment##sex (control variables) , fe cluster(ID)

---------------------------------------------------------------------------------------------
                            |               Robust
                    ppvtraw |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------------+----------------------------------------------------------------
                1.treatment |   5.594682    1.81707     3.08   0.002     2.031623    9.157742
                            |
                        sex |
                    female  |          0  (omitted)
                            |
              treatment#sex |
                  1#female  |  -8.300998   2.405033    -3.45   0.001    -13.01698   -3.585014

                       _cons |   80.75674   19.60288     4.12   0.000     42.31781    119.1957
----------------------------+----------------------------------------------------------------
How do I interpret this?
Can I read it like this:

1. males not getting treatment have an avg. score of 80.75
2. males getting treatment have an avg. score of 86.34 (80.75 + 5.59)
3. females getting treatment have an avg. score of 72.45 (80.75 - 8.30)
4. females not getting treatment have an avg. score of ??

or is it like this:

1. males not getting treatment have an avg. score of 80.75
2. males getting treatment have an avg. score of 86.34
3. females getting treated have an avg. score of 78.05 (80.75 + 5.59 - 8.30)
4. females not getting treatment have an avg. score of ??

Does the interaction coefficient say how much treatment changes the score for females or does it say how much the change differs from the male's change?
And how do I find the coefficient for being just a female without treatment?
Thank you so much for your help!


Best
Arto Arman