Inhalt

[ 514MASTSTAK21 ] KS (*)Statistics

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS B1 - Bachelor 1. Jahr Statistik Werner Müller 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Bachelorstudium International Business Administration 2025W
Lernergebnisse
Kompetenzen
(*)Students are able to perform a statistical analysis using statistical software. They have a basic knowledge of parameter estimation and hypothesis testing and are able to interpret results obtained from statistical software. Moreover, students can do simple statistical calculations “by-hand”.
Fertigkeiten Kenntnisse
(*)Learning Outcomes

Learning Outcome 2 (LO2): Analyze toy data sets “by-hand”.

Learning Outcome 3 (LO3): Analyze data sets (synthetic or real) using statistical software.

(*)Course Topics:

Part I: Descriptive statistics
  1. Frequency tables, parameters of location and scale; visualizing univariate distributions
  2. Bivariate data analysis (general structure of contingency tables, measures of association)
Part II: Probability theory
  1. Basics of probability (random experiments, independence, Bayes’ theorem)
  2. Discrete distributions (basics, binomial and hypergeometric distribution, approximation)
  3. Continuous distributions (basics, normal distribution, z-scores, quantiles, symmetric intervals)
Part III: Statistical inference
  1. Basic concepts (sampling distribution, unbiased estimators, standard errors)
  2. Estimation (point estimation, confidence intervals)
  3. Null hypothesis significance testing
  4. One-sample t-test
  5. One-way ANOVA / F-test
  6. Chi-squared test, correlation test
  7. Simple linear regression (basic equation, OLS, t-test, prediction, coefficient of determination)

Learning Outcomes

Learning Outcome 1 (LO1): Recall the basic concepts of statistics.

Beurteilungskriterien (*)In total, students have the possibility to reach 100 points. 60 points on the exam, and 40 points on the homework exercises during the semester. A minimum of 30 points on the exam and 20 points on the homework exercises is necessary for a positive grade. For the exam, slides of the lecture as well as personal cheat-sheets can be used by the students.

Final grades will be given as follows:

PointsGrade
89 - 1001
79 – 882
65 – 783
50 – 644
0 - 495

Synchronization of learning outcomes and assessments:
LO1: Written Exam + Homework Exercises
LO2: Written Exam + Homework Exercises
LO3: Written Exam + Homework Exercises

Lehrmethoden (*)At the beginning of each lesson, students have to present homework exercises in front of the class, which are about the topics covered in the previous lesson. After this, a classical lecture given by the course instructor follows.
Abhaltungssprache Englisch
Literatur (*)
  • Slides
  • Homework exercises and solutions

(All content is provided via moodle)

Lehrinhalte wechselnd? Nein
Präsenzlehrveranstaltung
Teilungsziffer 100
Zuteilungsverfahren Zuteilung nach Vorrangzahl