In general, there are two more arguments that can be put in, but since you're dealing with the standard normal distribution, those two arguments are not necessary (they are already pre-programmed to be 0 and 1, the mean and standard deviation respectively). So in this case, normalcdf(-1E99,.75,0,1) will give the same value as normalcdf(-1E99,.75).
If you use a table, look up the z value 0.75 by looking for the 0.7 row and the 0.05 column, then find their intersection. In most books, this will give you the value of area to the left of the z value. Sometimes, they give the area to the right of the z value; you would then need to subtract that value from 1 to get the desired answer.
If you need to go the other way, you can use the inverse norm feature on the calculator. So for instance on the TI-83/84, invnorm(.7734) should output the z value .75 (approximately).
I hope this clarifies things.