Mean, median, standard deviation, and variance. Handling of data sets. Modelling random error distributions. Standard deviation as a measure of the width of a distribution. Standard error of the mean.
Confidence limits for a normal distribution.
Propagation of errors with examples. Comparison tests and tests of precision. Outliners and criteria for their removal from a data set. Fitting of spectra to a set of overlapping Gaussian functions. Noise and its treatment.