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Title:Poslovna statistika
Authors:ID Tominc, Polona (Author)
ID Rožman, Maja (Author)
ID Čančer, Vesna (Reviewer)
ID Frešer, Blaž (Reviewer)
ID Plos, Alenka (Copy-reader)
ID Legat, Dunja (Author)
ID Perša, Jan (Technical editor)
Files:URL https://press.um.si/index.php/ump/catalog/book/782
 
.pdf RAZ_Tominc_Polona_2023.pdf (4,83 MB)
MD5: 1AEEEE97AA6774875623AF8775159FCD
 
Language:Slovenian
Work type:Higher education exercise book
Organization:EPF - Faculty of Business and Economics
UZUM - University of Maribor Press
Abstract:Predmet Poslovna statistika, za katerega je namenjena ta zbirka vaj, je pomemben za to, da študenti razvijejo sposobnost razumevanja informacij v podatkih. Gradivo obravnava naslednje vsebinske sklope: prikazovanje podatkov v tabelah in grafih, relativna števila, mere centralne tendence, mere variabilnosti, asimetrije in sploščenosti, intervalno ocenjevanje vrednosti statističnih parametrov in osnove preizkušanja domnev o statističnih parametrih, osnove enostavne regresije ter osnove analize in napovedovanja vrednosti v časovnih vrstah.
Keywords:urejanje in prikazovanje podatkov, deskriptivna statistika, enostavna regresijska analiza, osnove vzorčenja, časovne vrste
Place of publishing:Maribor
Place of performance:Maribor
Publisher:Univerza v Mariboru, Univerzitetna založba
Year of publishing:2023
Year of performance:2023
PID:20.500.12556/DKUM-84350 New window
ISBN:978-961-286-741-6
UDC:311.42(075.8)(076.5)(0.034.2)
COBISS.SI-ID:152596995 New window
DOI:10.18690/um.epf.6.2023 New window
Publication date in DKUM:26.05.2023
Views:864
Downloads:203
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:26.05.2023

Secondary language

Language:English
Title:Business statistics
Abstract:The course Business Statistics, for which this collection of exercises/tutorials is intended, is important for students to develop the ability to understand the information in data. These tutorials contain the following chapters: data visualisation using tables and graphs, relative numbers, measures of central tendency, measures of dispersion, skewness and kurtosis, confidence intervals for statistical parameters and the basis of hypothesis testing of statistical parameters, basics of simple regression and basics of time series analysis and forecasting.
Keywords:Data visualisation, descriptive statistics, simple regression analysis, basics of sampling, time series


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