Inhalt

### [ 170EFOMESSU21 ] UE Introduction to Inferential Statistics

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B1 - Bachelor's programme 1. year Statistics Christine Duller 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Diploma programme Business Education 2022W
Objectives Students know basic concepts of probability theory and inferential statistics
Subject random experiment, random variable, event, (pairwise) disjunct events, complementary event, Laplace definition of probability, Kolmogorov's axioms, conditional probability, stochastic independent events

discrete distributions: probability and distribution function, graphical representation of discrete distributions,expectation and variance, Bernoulli distribution; discrete uniform, binomial and hypergeometric distribution, approximation of discrete distributions

continuous distributions: density and distribution function and their graphical representation, expectation and variance, uniform and normal distribution, approximations, central limit theorem

sample distribution, representative sample, random sample

estimation: unbiasedness, consistency, point and interval estimation for proportions (Normal approximation) and means

hypothesis testing: basic concepts, tests for proportion (Normal approximation) and means (one sample t-test), Chi-square test for independence

Criteria for evaluation homework and exam
Methods presentation by the instructor

computer work in class

presentation of homework by students and discussion

Language German
Study material C. Duller, Einführung in die Statistik mit Excel und SPSS
Changing subject? No
Corresponding lecture (*)1MSMLU19: UE Einführung in die Methodenlehre I (3 ECTS)
Earlier variants They also cover the requirements of the curriculum (from - to)
551GRUSESSU14: UE Introduction To Inferential Statistics (2014W-2021S)
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority
MuSSS
This course is additionally offered in the following versions:

MuSSS O.C.
MuSSS O.C. 2023SS
Number obligatory dates     0
MuSSS assistance     N N
Number participants (min/max)     - / -
Course fee     € 0,00
Online materials and media
Dates
DayDateTimeRoomTopic
Wed29.03.202315:30 - 17:00ZoomFragestunde B1-B12
Wed26.04.202314:00 - 15:15ZoomFragestunde B13-B23
Wed26.04.202317:15 - 18:45ZoomFragestunde B13-B23
Wed24.05.202315:30 - 17:00ZoomFragestunde B24-B34
Wed21.06.202313:45 - 15:15ZoomFragestunde B35-B44
Wed21.06.202318:30 - 19:30ZoomFragestunde
Mon26.06.202317:15 - 18:45HS 15Klausur
Mon26.06.202317:15 - 18:45HS 16Klausur
Thu28.09.202313:45 - 15:15HS 10Klausur