The article discusses confidence intervals, which are used to estimate ranges within which true values are likely to fall. It covers various types of confidence intervals for different types of data, such as means, variances, and parameters of distributions. The main goal is to provide a way to quantify the uncertainty in our estimates. Key findings include methods for calculating confidence intervals for different types of data, such as normal random variables, binomial distributions, and exponential distributions.