Statistical Analysis of Covid Impact on Education in North America

Abstract

The Covid-19 pandemic since 2019 has affected various aspects of the world like economic and finance. But the utmost loss that the people would face is related to the education sector. Any country, big or small, but if its educational system is good and according to the world standard then it is destined to make progress. Besides, the Covid-19 epidemic has inevitably resulted in an increase in the usage of digital technology which based on the huge statistics data. Statistics has proven its worth in every field, and easily convey numerical details. It's also a representation of mathematical research that utilizes various quantitative models to deliver a batch of empirical data or examinations of naturalistic life. This study discusses the statistics data related to Covid-19. Specifically, in the education part, decision tree algorithms model in machine learning were used to predict the school closures level in North America countries (USA and CAN). Since the lockdown, the parents seemed very concerned over school closure and the education sector faced a major drawback. The result of this analysis indicates that impact of the epidemic on schools is gradually getting better.