Role of Statistical Methods in Semiconductor Research for Sustainable Energy Applications

Abstract: Sustainable energy has become an important requirement due to increasing energy demand and environmental concerns. Semiconductor materials play a key role in energy devices such as solar cells, thin films, and nanomaterials used in renewable energy applications. However, semiconductor research often faces problems related to experimental errors, material variations, and data uncertainty. Statistical methods help overcome these problems by improving the accuracy and reliability of experimental results.

This paper presents a review of the role of statistical methods in semiconductor research for sustainable energy applications. It discusses how tools such as regression analysis, error analysis, probability distributions, and analysis of variance help researchers understand experimental data and optimise device performance. The study highlights that the use of statistical methods is essential for developing efficient and reliable sustainable energy technologies.