The goals of the paper are: (1) to suggest that library and information science already depend heavily on statistical techniques; (2) to present examples of the need for greater knowledge of ...

Statistical inference often fails to replicate. One reason is that many results may be selected for drawing inference because some threshold of a statistic like the P-value was crossed, leading to ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Jim Chappelow is an independent consulting economist with over 13 years of experience in economic development, research, teaching, forecasting, and consulting. David Kindness is a Certified Public ...

This course is designed to provide students with a comprehensive understanding of statistics and its application in different fields. The course will cover descriptive statistics, inferential ...

This microcredential aims to review and complement basic statistical knowledge and to set the framework for a range of methods, used in the analysis of simple and complex systems. The main focus is on ...

Descriptive statistics are the first step in understanding your data. Measures like mean, median, and mode provide central tendencies, offering a snapshot of the data's distribution. Variability is ...

Introduction Considering the increasing complexity of care and workload for home care nurses due to the ageing of the population, it is crucial to describe the work environment and the community care ...