VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

406-0603-AAL 4 Credits MSC D-USYS , D-BAUG , D-INFK , D-MATH , D-BSSE , D-CHAB , D-HEST
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Stochastics (Probability and Statistics)

Lecturers & Examiners: Dr. Markus Kalisch
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.
VVZ CR n/a

Last Updated: 2026-06-01 11:33:11

Abstract

Introduction to basic methods and fundamental concepts of statistics andprobability theory for non-mathematicians. The concepts are presented onthe basis of some descriptive examples. The course will be based on thebook "Statistics for research" by S. Dowdy et.al. and on thebook "Introductory Statistics with R" by P. Dalgaard.

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". The main topics of the course are: - Introduction to probability - Common distributions - Binomialtest - z-Test, t-Test - Regression

Content

From "Statistics for research": Ch 1: The Role of Statistics Ch 2: Populations, Samples, and Probability Distributions Ch 3: Binomial Distributions Ch 6: Sampling Distribution of Averages Ch 7: Normal Distributions Ch 8: Student's t Distribution Ch 9: Distributions of Two Variables [Regression] From "Introductory Statistics with R": Ch 1: Basics Ch 2: Probability and distributions Ch 3: Descriptive statistics and tables Ch 4: One- and two-sample tests Ch 5: Regression and correlation

Resources

Literature

"Statistics for research" by S. Dowdy et. al. (3rd edition); Print ISBN: 9780471267355; Online ISBN: 9780471477433; DOI: 10.1002/0471477435; From within the ETH, this book is freely available online under: http://onlinelibrary.wiley.com/book/10.1002/0471477435 "Introductory Statistics with R" by Peter Dalgaard; ISBN 978-0-387-79053-4; DOI: 10.1007/978-0-387-79054-1 From within the ETH, this book is freely available online under: http://www.springerlink.com/content/m17578/

General Information

Language
English
Levels
MSC
Frequency
Semesterly recurring

Examination

Type
graded semester performance

Course Components

Type Title Time & Place Hours
revision course / private study Stochastics (Probability and Statistics)
Self-study course. No presence required.
No time listed 120 h semesterly

Offered In