# 105.693 Introduction to Statistics This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_21",{id:"j_id_21",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_23",{id:"j_id_23",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});}); 2024S 2023S 2022S 2021S 2020S 2019S 2018S

2024S, UE, 1.5h, 2.0EC

## Properties

• Semester hours: 1.5
• Credits: 2.0
• Type: UE Exercise
• Format: Presence

## Learning outcomes

After successful completion of the course, students are able to: explain clearly concepts from probability and statistics, evaluate various quantities for probability distributions and random variables, perform statistical computations, and implement this in the statistical program R.

## Subject of course

Classical point estimation (parametric and non-parametric methods), confidence estimation, statistical tests, linear models

## Teaching methods

This course is an introductory statistics and probability theory course. Main concepts of the course will be presented in the lectures LV Nr. 105.692 and then will be practiced and deepened in the Exercise sessions LV Nr. 105.693. The focus is on methods and tools of descriptive and inferential statistics, core concepts of probability theory and implementation of the statistical analysis methods.

Exercises will involve solving problems and the use of R for computation, simulation and visualization. You will need to have installed R Studio on your computer. You will not be expected to use R to do any advance computer programming. No previous knowledge of R is necessary, the necessary learning outcomes for R are achieved within the framework of the VO and UE. The R software can be downloaded from the CRAN website

https://cran.r-project.org

## Mode of examination

Immanent

PLEASE NOTE: You are required to register for one of the exercise groups listed below.

Exercises will take place on Tuesdays at the following times:

Group A: Tue 8:00 -10:00

Group B: Tue 10:00 - 12:00

Group C: Tue 12:00 - 14:00

Detailed description and plan can be found in TUWEL.

## Course dates

DayTimeDateLocationDescription
Fri12:00 - 14:0021.06.2024HS 17 Friedrich Hartmann - ARCH 105.693 Introduction to Statistics Groups A, B and C

## Examination modalities

Ongoing performance control

## Group dates

GroupDayTimeDateLocationDescription
Group ATue08:00 - 10:0005.03.2024 - 25.06.2024FH Hörsaal 3 - MATH 105.693 Introduction to Statistics Group A
Group BTue10:00 - 12:0005.03.2024 - 25.06.2024EI 1 Petritsch HS 105.693 Introduction to Statistics Group B
Group CTue12:00 - 14:0005.03.2024 - 25.06.2024HS 17 Friedrich Hartmann - ARCH 105.693 Introduction to Statistics Group C
Group CTue12:00 - 14:0023.04.2024EI 1 Petritsch HS 105.693 Introduction to Statistics Group C
Group CTue12:00 - 14:0007.05.2024EI 1 Petritsch HS 105.693 Introduction to Statistics Group C
Group CTue12:00 - 14:0028.05.2024EI 1 Petritsch HS 105.693 Introduction to Statistics Group C

## Course registration

Begin End Deregistration end
05.02.2024 08:00 03.03.2024 12:00 29.03.2024 22:59

## Group Registration

GroupRegistration FromTo
Group A05.02.2024 08:0003.03.2024 12:00
Group B05.02.2024 08:0003.03.2024 12:00
Group C05.02.2024 08:0003.03.2024 12:00

## Curricula

Study CodeObligationSemesterPrecon.Info
033 201 Technical Mathematics Mandatory6. Semester
033 203 Statistics and Mathematics in Economics Mandatory4. Semester
033 205 Financial and Actuarial Mathematics Mandatory4. Semester

## Literature

No lecture notes are available.

## Previous knowledge

The understanding of basic probability theory, linear algebra and calculus is required. R is used throughout the course (in both VO and UE) and no prior knowledge of R is needed.

English