This course provides a comprehensive survey of data analysis, probability theory, and statistical methods. It covers essential topics such as descriptive statistics, including stem-and-leaf displays and box plots, and the fitting of linear relationships. The curriculum delves into discrete and continuous probability distributions, conditional distributions, and key distributions like the binomial and normal distributions. Students will learn to construct confidence intervals and perform significance tests. This course is foundational for understanding and applying statistical concepts in various scientific and engineering fields.
The course is structured around key statistical concepts, with specific time allocations for each topic. It is designed to provide a broad understanding of probability and statistics within a semester.
While this course focuses on fundamental probability and statistics, the skills learned are broadly applicable across many fields. A strong foundation in statistics is crucial for roles in data analysis, research, finance, and many other quantitative disciplines.
This course is also offered during Summer School. Check the Summer School Bulletin for times.
This course is a 3-credit undergraduate course. Specific tuition and fees would be part of a larger degree program or per-credit rate, which is not detailed for this individual course. For general tuition and fees information at Stony Brook University, please refer to the Student Financial Services website.