**Course Objectives:** | This course aims to provide a solid foundation in statistical theory and an indication
of the relevance and importance of the theory in solving practical problems in the real
world. Students will learn how to use specific statistical distributions and general
modes of statistical thinking to make inferences from data, and to support an argument
with quantitative information. Students will learn the mathematical and probabilistic
underpinnings of statistical theory, which is essential for understanding and properly
applying statistical techniques used in other fields such as economics, biology,
engineering, social science, and so on. By the end of the course, students will be able
to apply a wide variety of probability distributions, and approach and solve practical
problems through statistical and probabilistic reasoning. In addition, they will be
able to prove theorems relating to the content of the course, provide written
explanations of the ideas behind statistical concepts, and will have improved
their skills at solving complex and multi-step problems. |