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Title:Statistika z raziskovalnimi metodami
Authors:ID Rožman, Maja (Author)
ID Tominc, Polona (Author)
ID Čančer, Vesna (Reviewer)
ID Oreški, Dijana (Reviewer)
ID Plos, Alenka (Copy-reader)
ID Perša, Jan (Technical editor)
Files:URL https://press.um.si/index.php/ump/catalog/book/7epf24
 
.pdf 9789612869298.pdf (8,12 MB)
MD5: 23793B69A03F75D8A670E0CFE7B32005
 
Language:Slovenian
Work type:Unknown
Organization:EPF - Faculty of Business and Economics
UZUM - University of Maribor Press
Abstract:V današnjem hitro spreminjajočem se poslovnem okolju je ključnega pomena sposobnost razumevanja in uporabe statistike za sprejemanje utemeljenih poslovnih odločitev. Napredovanje tehnologije in povečevanje obsega podatkovnih baz omogoča podrobno analizo in interpretacijo podatkov, ki so temelj za prepoznavanje ključnih prihodnjih trendov in oblikovanje strategij na tej osnovi. V pričujoči zbirki obravnavamo statistična metodološka orodja, ki pomagajo pri razumevanju vpliva različnih dejavnikov na posamezne ekonomske in poslovne kategorije in odločitve, analiziramo sezonske komponente v časovnih vrstah ter opredeljujemo napovedovanje vrednosti v prihodnjih časovnih enotah, analiziramo večdimenzionalne spremenljivke in pristopamo k statističnim konceptom preverjanja domnev o različnih lastnostih statistične množice na osnovi slučajnega vzorca. Z razumevanjem teh procesov lahko posamezniki oblikujejo učinkovite strategije, ki temeljijo na dejstvih in podatkih, ter se pripravijo na prihodnje izzive in izkoristijo dinamiko tržnih sprememb.
Keywords:statistične metode, deskriptivna statistika, inferenčna statistika, univariatna statistika, multivariatna statistika
Place of publishing:Maribor
Place of performance:Maribor
Publisher:Univerza v Mariboru, Univerzitetna založba
Year of publishing:2024
Year of performance:2024
PID:20.500.12556/DKUM-91161 New window
ISBN:978-961-286-929-8
UDC:311.1:004.42(0.034.2)
COBISS.SI-ID:215399171 New window
DOI:10.18690/um.epf.7.2024 New window
Publication date in DKUM:22.11.2024
Views:0
Downloads:51
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Licences

License:CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.
Licensing start date:22.11.2024

Secondary language

Language:English
Title:Statistics With Research Methods
Abstract:In today's rapidly changing business environment, the ability to understand and use statistics for making informed business decisions is crucial. The advancement of technology and the increasing size of data repositories enable detailed analysis and interpretation of data, which are essential for identifying key future trends and forming strategies based on these insights. In this collection, we discuss statistical methodological tools that assist in understanding the impact of various factors on specific economic and business categories and decisions. We analyze seasonal components in time series, define forecasting of values in future time units, analyze multidimensional variables, and approach statistical concepts of hypothesis testing regarding different properties of a statistical set based on a random sample. By understanding these processes, individuals can design effective strategies based on facts and data, prepare for future challenges, and leverage the dynamics of market changes.
Keywords:statistical methods, descriptive statistics, inferential statistics, univariate statistics, multivariate statistics


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