Colleges

Course Description: The course aims to provide students with the fundamental knowledge and skills necessary to collect, use, and analyze data crucial in the business world, and to interpret and explain the results in accordance with the problem under study. This is achieved by explaining variables and their types, samples and their types, methods of data collection and organization, and identifying measures of central tendency, their properties, measures of dispersion, and shape. The course also aims to introduce students to the basics of probability theory and the fundamental concepts and theories related to statistical inference, which focuses on developing methods used to estimate population parameters and test hypotheses about them. This includes estimating and testing correlation relationships between variables through linear regression and logistic regression models, time series analysis, and forecasting, while demonstrating how to apply these methods in the field of business administration using R software and utilizing their results to support policy-making and decision-making based on sound scientific and practical foundations.