University of Ottawa - ADM 2303: Statistics for Management

ADM 2303: Statistics for Management introduces statistical tools and techniques essential for business decision-making. The course covers data types and classifications, foundational probability principles, and concepts of independence, including Bayes' Rule. Students explore both discrete and continuous probability distributions, such as binomial, Poisson, uniform, and normal distributions, emphasizing real-world applications in management. The course also examines random variables, empirical probability models, and probability trees, providing a strong foundation for more advanced statistical analysis.

Additionally, the course emphasizes data representation and descriptive statistics, using tools like histograms, stem-and-leaf diagrams, and scatter plots to understand data patterns. Key measures of central tendency and variability, such as mean, median, percentiles, and range, are explored in depth. Sampling methods, sampling distributions, and the Central Limit Theorem are introduced, along with correlation, covariance, and the basics of statistical process control and quality improvement techniques. Prerequisites include ADM 1305, MAT 1300, or MAT 1329.