Many processes can be modeled using random variables. In this course some (continuous) probability distributions are given that can be useful for models in practical applications. Such a model has unknown parameters that must be estimated using available data. In this course one learns to construct confidence intervals for such parameters. The concept of hypothesis testing is introduced, as well as errors and limitations of various testing approaches Regression models are introduced to describe complex processes (such as a production process).