# 406-0603-AAL  Stochastics (Probability and Statistics)

 Semester Autumn Semester 2021 Lecturers M. Kalisch Periodicity every semester recurring course Language of instruction English Comment Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.

 Abstract Introduction to basic methods and fundamental concepts of statistics and probability theory for non-mathematicians. The concepts are presented on the basis of some descriptive examples. Learning the statistical program R for applying the acquired concepts will be a central theme. Objective The objective of this course is to build a solid fundament in probability and statistics. The student should understand some fundamental concepts and be able to apply these concepts to applications in the real world. Furthermore, the student should have a basic knowledge of the statistical programming language "R". Content From "Statistics for research" (online)Ch 1: The Role of StatisticsCh 2: Populations, Samples, and Probability DistributionsCh 3: Binomial DistributionsCh 6: Sampling Distribution of AveragesCh 7: Normal DistributionsCh 8: Student's t DistributionCh 9: Distributions of Two VariablesFrom "Introductory Statistics with R (online)"Ch 1: BasicsCh 2: The R EnvironmentCh 3: Probability and distributionsCh 4: Descriptive statistics and tablesCh 5: One- and two-sample testsCh 6: Regression and correlation Literature - "Statistics for research" by S. Dowdy et. al. (3rdedition); Print ISBN: 9780471267355; Online ISBN: 9780471477433; DOI:10.1002/0471477435 From within the ETH, this book is freely available online under: Link- "Introductory Statistics with R" by Peter Dalgaard; ISBN978-0-387-79053-4; DOI: 10.1007/978-0-387-79054-1 From within the ETH, this book is freely available online under: Link