The article discusses how scientists estimate population parameters like mean and variance using data. They use confidence intervals to show the range where the true value likely lies. If a 95% confidence interval includes a hypothesized value, it's not rejected. The article explains how to make confidence intervals for differences in means, ratios of variances, and correlation coefficients. If the data isn't normal, bootstrap methods can be used instead.