Delve into probability, inferential statistics, and modern approaches to theory testing, gaining the skills to make data-driven decisions and critically evaluate research findings. This course covers probability theory, hypothesis testing, and the evolution of statistical thinking. Learners will deepen their understanding of probability, sampling, and inferential statistics, including confidence intervals, hypothesis testing, and robust estimation techniques. The course also explores contemporary statistical methods such as effect sizes, Bayesian approaches, and the assumptions underlying statistical models. By mastering these concepts, you will be equipped to interpret research results and apply statistical reasoning to a variety of real-world problems. Engaging storytelling and practical examples guide learners through complex statistical ideas, while interactive assessments reinforce understanding and encourage critical thinking. The course emphasizes conceptual clarity and real-world application to ensure lasting comprehension. This course is part two of a three-course Specialization designed to build a complete and cohesive understanding of the subject.
While it offers valuable skills on its own, you’ll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on An Adventure in Statistics, by Andy Field. Copyright ©2022 by Sage Publications Limited. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Published by Sage Publications Limited, London. Used by arrangement with Sage Publications Limited.
