Explore the fundamentals of probability in this 30-minute introductory video. Gain insights into modeling uncertainty and its impact on decision-making processes. Delve into key concepts such as random variables, probability distributions, and discrete random variables. Learn about the normal distribution and its significance in statistical analysis. Examine the application of conditional probability and Bayes' Theorem in real-world scenarios, including disease screening and false positives/negatives. This concise overview serves as a primer for a more comprehensive series on probability theory, offering a solid foundation for further study in statistics and data analysis.
Overview
Syllabus
Understanding Probability - Probability 1.
Random Variables and Probability Distributions.
Discrete Random Variables: Distributions 2.
Understanding the normal distribution - statistics help #Statistics #Probability.
False positives and false negatives: disease screening - conditional probability - Bayes Theorem.
Bayes' Theorem 1: Introduction and conditional probability.
Bayes' Theorem 2: Formulas, tables and implications.
Taught by
Dr Nic's Maths and Stats
