[ 170EFOMEBSU21 ] UE Introduction to Descriptive Statistics

(*) 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 2023W
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)
Earlier variants They also cover the requirements of the curriculum (from - to)
551GRUSEBSU14: UE Introduction To Descriptive Statistics (2014W-2021S)
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority
This course is additionally offered in the following versions: