I learned using SPSS and SAS many years ago, and used it in experimental catchment comparisons. The data I had was a lot more than a few grab samples, and I had some statistician review. But when conducting non-research designed studies, I too have found MS Excel (or previously Lotus 1 2 3) as very helpful, especially when data may not always been taken under the same flow or time series as the other stations. I have often used the plotting of water quality data by time series, and when possible also compared by streamflow (converting to normalized flow by dividing cfs by area to get CSM, cubic feet per second per square mile in English units). It is important when comparing rivers, to select the data that is compatible, such as data pairs for the three rivers taken at similar flow regimes or if not that, similar time series if rivers are in same area. It is often important to know how the flow regime (hydrograph) influences water quality values, so one does not inadvertently compare data pair or in this case triplet values that are from different conditions. It is always good to have statistician review or help if available. Otherwise the onus is on the scientist to use proper techniques, especially when publishing or making recommendations of importance.