The book presents the fundamentals of statistics, elaborates on parameter estimation in linear models, and covers variance and covariance analysis as well as hypothesis testing methods. Emphasis is placed on a clear presentation with many illustrations and particularly with numerous examples. The latter are prepared in detail numerically to facilitate and enable the reader's independent implementation of the material. Contents include: - Matrix theory - Descriptive statistics - Random variables and probability distributions - Inductive statistics - Regression analysis (parameter estimation) - Confidence intervals and hypothesis tests - Practice examples for regression analysis (least squares) - Fully automated adjustment program for three-dimensional terrestrial measurements.