This course introduces fundamental concepts in probability and statistical analysis, focusing on practical applications in marketing. Students will explore counting techniques, probability theorems, random variables, and probability distributions (discrete and continuous). The course also covers sampling methods, statistical inference, confidence intervals, hypothesis testing, correlation, and regression analysis.
Through case studies and hands-on exercises, students will apply statistical techniques to real marketing data, enabling them to analyze consumer behavior, assess campaign effectiveness, and support data-driven decision-making. By the end of the course, students will be proficient in using statistical tools for marketing research and analytics.