Error types refer to the different categories of mistakes that can occur in various fields, such as programming, statistics, or data analysis. Common error types include syntax errors, which occur when the code does not follow the correct format, and logical errors, where the code runs but produces incorrect results due to flawed reasoning. In statistics, error types are often classified as Type I and Type II errors. A Type I error happens when a true null hypothesis is incorrectly rejected, while a Type II error occurs when a false null hypothesis is not rejected. Understanding these error types is crucial for accurate analysis and decision-making.