Pearl's formula refers to a statistical formula that was developed by Clyde Freeman Coombs, commonly known as Clyde F. Coombs Jr. This formula is used in the field of demography and population analysis to estimate the size of a population based on incomplete data.
The formula is also known as the Coombs-Pearl formula, named after Clyde Coombs and Raymond Pearl, who extensively worked on population studies and statistics.
Pearl's formula uses the concept of probability sampling, where a smaller, representative sample of the population is taken to estimate the characteristics of the entire population. This is especially useful when conducting surveys or making inferences about populations that are difficult to access, expensive, or time-consuming to study in their entirety.
The formula takes into account the sample size, the proportion of the target population included in the sample, and the estimated population size. By combining these inputs, Pearl's formula can provide an estimate of the total population size.
The formula is widely used in various fields, including market research, sociology, demography, and political science. It helps researchers and analysts make accurate estimates and predictions while considering the limitations of incomplete data.
Overall, Pearl's formula serves as a valuable tool in statistical analysis, providing a systematic and reliable method for estimating population sizes based on sample data.
