I have two data sets A and B which correspond to two different settings of the system. Both sets contain 5 separate lists of integers; I took 5 samples, at different points in time and location, for each set to reduce the random error in the data. How would I go about comparing sets A and B? If I only had one sample in sets A and B, I could simply calculate the mean and standard deviation and compare the data. This is pretty much the extent of statistics I've learned. But I have multiple samples in each set, so should I combine all the samples into one big list and calculate the mean and SD? The number of integers in each sample may not be the same. I'm not looking for something very accurate here. Something quick and dirty will do.