Inhalt

### [ 551GRUSEBSU14 ] UE Introduction to Descriptive 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 Bachelor's programme Statistics 2015W
Objectives students know the basic concepts of descriptive statistics, can perform descriptive statistical analyses with Excel and SPSS and display data grafically
Subject absolute, relative, cumulative frequencies, marginal and conditional distribution, distribution function, survival function; pie chart, bar chart, histogram, empirical distribution function; mean, median, mode, quantiles; variance, standard deviation, variation coefficient, range, skewness, curtosis; Chi-square statistic, Cramer's V, spearman correlation, covariance, correlation, scatter plot; simple linear regression, coefficient of determination

Introduction to SPSS.

Criteria for evaluation homework + 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)
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 Linz
MuSSS Linz
Number obligatory dates     0 0 0 0 0 0 0 0 0 0 0
MuSSS assistance     Verena Bodenhofer Verena Bodenhofer Verena Bodenhofer Verena Bodenhofer Verena Bodenhofer Verena Bodenhofer Verena Bodenhofer Verena Bodenhofer Verena Bodenhofer N N N N N N N N N N N N
Number participants (min/max)     - / - 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40 20 / 40
Course fee     € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00 € 36,00
Online materials and media
Book from onlineshop               Einführung in die Statistik mit Excel und SPSS (3. Auflage - C. Duller - Springer Gabler), available at the price of € 25,70 at ÖH-Shop
Dates
DayDateTimeRoomTopic
Mon26.01.201517:15 - 18:45S2 059
Thu29.01.201519:00 - 20:30HS 10Klausur
Thu29.01.201519:00 - 20:30HS 1Klausur
Thu12.02.201517:15 - 18:45HS 16Nachklausur
Thu12.02.201517:15 - 18:45HS 1Nachklausur
DayDateTimeRoomTopic
Fri26.06.201508:30 - 11:45HS 1Sitzplatznummern
Mon28.09.201518:15 - 20:30HS 1Nachklausur
DayDateTimeRoomTopic
Mon01.02.201618:15 - 19:45HS 1
Mon01.02.201618:15 - 19:45HS 10
Mon01.02.201618:15 - 19:45HS 16
Mon22.02.201617:15 - 18:45HS 16
DayDateTimeRoomTopic
Thu30.06.201619:00 - 20:30HS 1
Thu30.06.201619:00 - 20:30HS 16
Thu29.09.201619:00 - 20:30HS 1Nachklausur Ergebnisse
DayDateTimeRoomTopic
Mon30.01.201719:00 - 20:30HS 1
Mon30.01.201719:00 - 20:30HS 16Sitzplatznummern
Thu16.02.201717:15 - 18:45HS 1Sitzplatznummern
DayDateTimeRoomTopic
Wed28.06.201715:30 - 17:00HS 1Klausur
Tue26.09.201715:30 - 17:00HS 1Nachklausur
DayDateTimeRoomTopic
Mon29.01.201817:15 - 18:45HS 1Klausur
Wed14.02.201817:15 - 18:45HS 1Nachklausur
DayDateTimeRoomTopic
Thu28.06.201815:30 - 17:00HS 1Klausur
Tue11.09.201815:30 - 17:00HS 10Nachklausur
DayDateTimeRoomTopic
Tue29.01.201917:15 - 18:45HS 1Klausur
Mon18.02.201917:15 - 18:45HS 1Klausur
DayDateTimeRoomTopic
Thu27.06.201912:00 - 13:30HS 10Klausur
Wed02.10.201913:45 - 15:15HS 7Nachklausur
DayDateTimeRoomTopic
Wed29.01.202015:30 - 17:00HS 1Klausur
Tue11.02.202015:30 - 17:00HS 1Nachklausur
No dates found
DayDateTimeRoomTopic
Thu28.01.202117:15 - 18:45HS 16Klausur
Thu28.01.202117:15 - 18:45HS 7Klausur
Tue09.02.202113:45 - 15:15HS 1Nachklausur
DayDateTimeRoomTopic
Wed30.06.202117:15 - 18:45HS 1Klausur
Fri01.10.202112:00 - 13:30HS 16Nachklausur
DayDateTimeRoomTopic
Fri28.01.202213:45 - 15:15HS 1
Wed16.02.202212:00 - 13:30HS 1Nachklausur