Studienhandbuch | UE Introduction to Descriptive Statistics

Inhalt

Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Social Economics 2024W vorhanden.

^(*) 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 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

MuSSS O.C. 2023SS

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