This module provides a strong grasp of statistical principles and techniques. It serves as a versatile starting point, suitable for both beginners and those seeking to deepen their statistical knowledge. It covers fundamental concepts such as probability distributions, hypothesis testing, statistical estimation, confidence intervals, and practical data analysis skills. The module also emphasizes the practical application of the statistical models. The module equips students with a foundational understanding of statistical inference methods, making it applicable across various academic and professional domains. The students will develop a deep understanding of how statistical inference works which will prepare them for other modules in statistics.
Learning Outcomes
By the end of the module students should be able to:
Understand the fundamental concepts of probability distributions and their role in statistical inference.
Demonstrate a foundational understanding of statistical theory and its applications.
Be able to implement inferential tasks such as statistical estimation and hypotheses testing.
Evaluate and interpret statistical results in real-world contexts.
