I have two treatments, $A$ and $B$, and I'd like compare their results to simply see if they are significantly different. I have a limited statistical tool set and might naively use a t-test for this.
But let's say that the treatments are from a time series. For example, let's imagine the response variable is fuel consumed by my car at a constant speed measured every minute over a two hour period. My gut says that using a tool like a t-test probably isn't really fair, as the data points aren't really independent because it's a time series.
Are there tools available that will allow me to compare $A$ and $B$ while accounting for the fact that the data points are sequential and, consequently, not really independent? Even just the name of these types of tools would be incredibly helpful, so I can better filter the signal from noise when Googling.
