Probability

The video tutorial covers the concept of probability and its central role in inferential statistics. It explains how statistical significance is determined and the importance of the null hypothesis. The tutorial also discusses the probability of events, using examples like coin tosses, and explains the common significance level used in psychology. Additionally, it covers type I and type II errors, illustrating them with real-world analogies to clarify the concepts of false positives and false negatives.

Describe the difference between a type I error and a type II error.

How can we be 95% confident that a result is not due to chance?