👉 Bishop's Math is a statistical method used for estimating the mean of a normally distributed population from a sample, particularly when the population standard deviation is unknown. It works by constructing confidence intervals for the mean using a resampling approach called bootstrapping, where many resamples of the original data are created with replacement. For each resample, the sample mean is calculated, and these means form a distribution of the sample means. The confidence interval is then derived from this empirical distribution, providing a range within which the true population mean is likely to fall with a specified level of confidence. This method is robust and doesn't rely on assumptions about the population distribution, making it a popular choice in practical applications where traditional parametric methods might not be suitable.