Non-stop
The student is able to use basic statistical methods and techniques of data processing and analyzing, which is: collecting, presenting and describing data, applying proper statistical techniques for hypothesis testing about relationship between variables. The student understands the basic concepts in quantitative data analysis. The course will focus on practical applications with MS Excel.
IBCRI: Skills in Critical and Analytical Understanding: Critically review, analyze and understand information available from academic and professional business sources.
IBBUS: Applied Business Skills: Apply disciplinary and interdisciplinary knowledge to analyze business challenges and global trends to propose or put into action practical business solutions based on the findings.
Data collection, organizing data, data presentation, descriptive statistics, exploratory data analysis, probability distributions, sampling distributions, confidence interval estimation, fundamentals of hypothesis testing: one sample tests, two-sample tests, analysis of variance, chi-square and nonparametric tests. All with applications in MS Excel.
0-5. Assignments or/and projects. Deadlines to be announced at the beginning of the course.
100% virtual course. Distant learning. Introductory meeting, video lectures and tutorials, homework exercises and assignments. Assignments or/and projects. Deadlines to be announced at the beginning of the course.
Video lectures and tutorials PowerPoint slides MS Excel applications Literature: Statistics for Managers using MS Excel, Global Edition, 8/E, David M. Levine, David F Stephan, Kathryn A. Szabat, 2018 Data Analysis with SPSS: A First Course in Applied Statistics (4th Edition) Stephen A. Sweet, Karen Grace-Martin, 2012