Sampling is a crucial aspect of making well-informed decisions in various real-life domains. Inferences about statistical populations or data are drawn from samples, and it is imperative that a sample ...

The use of auxiliary information can increase the precision of population parameter estimates in survey sampling, assuming that it is strongly associated with the study variable. To get precise ...

One of the most important decisions in any statistical study is how to select a sample from the population of interest. A sample is a subset of the population that represents the whole group in some ...

1 Pan African University, Institute for Basic Sciences, Technology and Innovation (PAUISTI), Nairobi, Kenya. 2 Department of Statistics and Actuarial Science, Jomo Kenyatta University of Agriculture ...

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. Robert Kelly is managing director of XTS Energy LLC, and has more ...

Greg DePersio has 13+ years of professional experience in sales and SEO and 3+ years as a writer and editor. Robert Kelly is managing director of XTS Energy LLC, and has more than three decades of ...

Sampling and estimation are essential steps in data analysis, as they allow you to draw conclusions from a subset of a population. However, not all sampling methods are equally effective or ...

Abstract: In this chapter, we introduce the concept of a random variable and develop the procedures for characterizing random variables, including the cumulative distribution function, as well as the ...