Abstract: This discourse investigates methodologies for the computation of quantile estimates and descriptive statistics within the framework of telemetry challenges. This undertaking gains ...

Data quality is critical for successful data processing, with robust statistics essential for handling outliers and ensuring accurate representation. The standard deviation is sensitive to outliers, ...

Neurointervention has seen significant advancements in recent decades with the adoption of myriad new technologies and techniques. Initially reliant on case reports and small case series, we now ...

This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and ...

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis ...

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Descriptive statistics is a branch of statistics that is used to summarize and organize data in a meaningful way. This type of statistics is used to describe the basic features of a dataset, such as ...

Objective: To describe the child homicide rates and examine the circumstances of homicides of children in Malaysia from January 2010 to June 2021. Methods: This is a retrospective secondary analysis ...