Advances in Symmetrical and Asymmetrical Distributions for Modern Statistics and Data Science

Key Points

• This research aims to explore the significance of symmetrical and asymmetrical distributions within modern statistics and data science.
• Analyzed symmetrical and asymmetrical distributions
• Discussed their implications in statistics
• Evaluated applications in data science
• Identified key characteristics of distributions
• Reported the relevance of these distributions for various data analysis scenarios