1. The problem statement, all variables and given/known data I'm setting up an experiment for a simulation. I'm not sure how to formulate the hypothesis. The model used in the simulation is the first iteration, so I'm just using 2 attributes, 1 independent (A) and 1 dependent (B). As a result, I need to state explicitly that this model is not representative of real life, and just used as step in extending the model. In real life there are many other factors which we could assume are included, but I'm not simulating these yet. So my question is, how do I state this explicitly (and formally) as part of my hypothesis? 2. Relevant equations My initial thought is to state the hypothesis as: If A is increased, then B will increase. 3. The attempt at a solution With assumptions made: If A is increased, then B will increase, assuming for the purpose of the simulation no other attributes affect B.